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AI Software Engineer • Hybrid role in Soho, • £80-120k depending on experience We’re on a mission to reinvent how AI understands people — not through CVs or data points, but through story, reasoning, and curiosity. We’re building systems that listen, interpret, and understand why people say what they say. The goal? Create AI that perceives human potential, not just human input. If you love working on ideas that feel impossible — keep reading. The Role We’re looking for an engineer who blends technical depth with creative instinct. You’ll work directly with founders to shape the intelligence layer behind a new generation of human-aware AI — from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent. If you’ve worked in a disruptive industry and built something brand new — not just improved what already existed — this will feel familiar. What You’ll Be Building • Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding, • Fast, intuitive interfaces that make human-AI interaction feel alive, • Rapid prototypes that turn bold ideas into working products, • Scalable infrastructure for experimentation and learning You’ll Thrive Here If You • Come from a disruptive, fast-moving environment, • Have helped launch or shape new ideas, products, or technologies, • Think in systems and build with elegance, • Believe speed drives creativity, • Are curious about human cognition and behaviour, • Value truth, craft, and collaboration over hierarchy What You Bring • Deep fluency in TypeScript and modern frameworks, • Experience with vector databases and embeddings, • Strength in LLM fine-tuning or multimodal reasoning, • Proven ability to ship full-stack products fast, • Strong Python skills, • Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.

Senior Backend Engineer (Python / Embedded Software) London, UK (Hybrid) Up to £85,000 + benefits We’re partnered with a rapidly scaling technology company redefining the future of unattended retail across Europe and beyond. Backed by significant investment and trusted by hundreds of customers, they are building the platforms and infrastructure powering the next generation of automated retail. They are seeking a highly experienced Senior Backend Engineer with deep expertise in Python and a background or strong interest in building backend systems that run on physical hardware. This is a unique opportunity to develop software that operates in both connected and disconnected environments, and to join a scaling international team and take ownership of mission-critical services that drive real-world impact. Responsibilities as a Senior Backend Engineer: • Design and maintain Python backend services powering distributed retail hardware., • Develop systems for intermittent connectivity, including caching, buffering, and sync/retry mechanisms., • Implement synchronisation strategies between edge devices (e.g. SQLite) and cloud systems (PostgreSQL)., • Drive best practices in architecture, modularity, and performance through thorough code reviews., • Mentor and support engineers, contributing to a culture of technical excellence., • Maintain clear and comprehensive technical documentation for APIs and services. Key Requirements as a Senior Backend Engineer: • 8+ years of backend development with strong Python experience., • Proven experience deploying to, or strong passion for working on, constrained hardware (NUCs, Raspberry Pi, embedded Linux)., • Strong database skills (PostgreSQL, SQLite) and ORM performance optimisation., • Experience with TDD and writing maintainable, production-grade code., • Strong communicator with collaborative mindset. Nice-to-Haves: • Experience working with embedded, IoT, kiosk, or distributed edge systems., • Background in retail tech or device-driven environments., • Previous mentoring or leadership responsibilities. Why Join? • High-impact role building systems used in real-world environments., • International, fast-moving engineering culture., • Opportunity to shape edge-based backend architecture at scale., • Hybrid working, career growth, and strong benefits. This is a career-defining opportunity for a Senior Backend Engineer to join a scaling team and tackle complex technical challenges at global scale. If you’re passionate about backend engineering that goes beyond the cloud and powers physical products at scale, we’d love to speak with you. Unfortunately, due to high application volumes, not all submissions will receive feedback.

Software Engineer (Golang) – Global Fintech Location: Remote / Hybrid (with offices in London, New York, Singapore) Employment Type: Full-time Salary: Competitive + bonus + equity options About Us We’re a global fintech company transforming the way money moves around the world. Our platform powers cross-border payments, trading infrastructure, and digital banking solutions for millions of customers and institutions. With offices across three continents and a growing engineering presence, we’re scaling fast and looking for exceptional talent to help us shape the future of financial technology. The Role We’re seeking a Golang Software Engineer to join our core engineering team. You’ll design, build, and maintain high-performance backend services that process millions of transactions per day. You’ll work closely with our product, infrastructure, and data teams to deliver scalable, reliable, and secure systems that power our next generation of fintech products. What You’ll Do • Design and develop distributed backend systems in Go (Golang)., • Build APIs and microservices that are fast, secure, and maintainable., • Collaborate with DevOps engineers to optimize CI/CD pipelines and cloud infrastructure (AWS/GCP)., • Write clean, tested, and well-documented code., • Contribute to architectural decisions, system design discussions, and technical roadmaps., • Work in an agile, collaborative environment with global teams across time zones. What We’re Looking For • 5+ years of experience in software development (with 3+ years in Golang preferred)., • Strong understanding of concurrency, distributed systems, and microservices architectures., • Experience with REST/gRPC APIs, PostgreSQL, Kafka, or similar technologies., • Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)., • Excellent problem-solving skills and a passion for clean, efficient code., • Bonus: Experience in fintech, payments, or high-throughput systems. Why Join Us • Work on systems that move billions of dollars daily., • Competitive compensation and stock options., • Flexible working arrangements – remote-first culture., • Learning & development budget for conferences, courses, and certifications., • Inclusive, diverse, and innovative engineering culture.

Backend Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than £75 million in funding, they are rapidly scaling their engineering team to meet growing demand and expand their industry-leading platform. The Role They are seeking a talented mid-senior level Backend Engineer with a strong focus on Python development. You’ll work closely with a diverse engineering team to build and scale next-generation backend systems, contribute to new feature development, and take ownership of critical areas of the platform. Responsibilities • Design, build, and maintain scalable APIs and backend services., • Collaborate with cross-functional teams to implement data-driven solutions., • Contribute to architectural decisions and technical planning., • Work with DevOps tools to streamline CI/CD pipelines and cloud scalability., • 3–5 years of backend engineering experience., • Strong proficiency with Python and frameworks such as FastAPI or Django., • Experience developing and scaling RESTful APIs and backend systems., • Solid understanding of cloud infrastructure (AWS preferred)., • Familiarity with containerization (Docker, Kubernetes)., • Exposure to PySpark or PyTorch is a bonus., • Work on meaningful projects with measurable environmental impact., • Collaborate with a world-class engineering team., • Access rapid career progression in a high-growth environment., • Competitive compensation, flexible working, and cutting-edge tech stack.

Job Description Job Title: Electrical Design Engineer - Data Center Reports To: Associate Director, Electrical Services Location: London Package: £60k - £85k Fixed Base DOE + £5K Annual Travel allowance (Paid on Salary Monthly) + X2 Monthly Salary Bonus+ Full Private Medical / Dental Package Job Purpose The Electrical Design Engineer - Data Center, will support the delivery, commissioning, and optimization of data center projects for our Multinational Colo Data Center client. This role requires a focus on energy-efficient, resilient, and high-quality electrical systems in both essential and critical infrastructure. The engineer will ensure compliance with applicable legislation, ISO standards, and safety protocols, while resolving technical issues related to electrical systems. The position is responsible for overseeing electrical installations, power distribution, and generation systems across the data center estate. Key Accountabilities Responsibilities include, but are not limited to: • Assist in the optimization of electrical infrastructure with guidance from the Line Manager, ensuring adherence to best practices and industry standards., • Implement and monitor health and safety procedures relevant to electrical systems and act on audit recommendations., • Collaborate with Building Services to ensure uninterrupted data center operations and resolve infrastructure-related issues promptly., • Draft technical specification documents for new builds and electrical upgrade projects., • Lead or support the commissioning process for upgrades and new builds, including final sign-off of electrical systems., • Develop and participate in Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Integrated Systems Testing (IST)., • Document FAT and SAT procedures in alignment with industry best practices., • Ensure all electrical-related health and safety policies are implemented according to OHSAS 18001 standards., • Conduct inspections and manage contractors to ensure compliance with SLAs, maintaining performance records., • Ensure all statutory and cyclical testing of electrical systems is completed and documented., • Maintain records of compliance with health and safety legislation, fire safety regulations, and statutory requirements., • Develop, implement, and communicate safe working procedures with the site Health & Safety Manager., • Own electrical H&S audits, ensuring all compliance issues are resolved promptly and proactively., • Monitor corrective actions and develop preventive measures., • Diagnose and resolve faults on electrical and control systems., • Liaise with Project Managers to ensure successful completion of electrical works., • Maintain and update risk assessments covering all electrical work activities. Qualifications & Experience Essential: • Degree in Electrical Engineering or similar discipline, • 17th/18th Edition Certification (or equivalent), • Experience in electrical and control systems within critical infrastructure, • Knowledge of statutory regulations, technical standards, and UK/EU legislation, • Strong fault diagnosis and analytical capabilities, • Competent in Microsoft Office (Word, Excel, Outlook), • Excellent documentation, reporting, and communication skills, • Understanding of data center electrical and building services systems Desirable: • Degree in Electrical Engineering / Chartered Engineer, • IOSH or BIFM qualification/membership, • Experience with UPS systems, generator controls, switchgear, AC/DC systems, • Experience acting as the client in infrastructure projects, • Fire systems knowledge and fire risk assessment certification, • Experience with PPM, plant maintenance systems, and management systems, • HVAP Certification (AP15 or equivalent) Personal Attributes Essential: • Adaptable and resourceful, • Excellent communication skills at all levels, • Strong reporting and problem-solving abilities, • High degree of computer literacy, • Structured and methodical approach, • Ability to work independently and within a team, • Ability to manage pressure and prioritize tasks, • Located within easy commuting distance to London Docklands Desirable: • Innovative thinker with a flexible approach, • Experienced in managing people and contractors Core Competencies Focusing on Our Customers • Builds rapport and maintains long-term customer relationships, • Takes immediate action to resolve issues and exceed expectations, • Works well with colleagues, proactively shares knowledge, • Shows respect and consideration for others' opinions and roles, • Continuously improves work processes and seeks efficiencies, • Adapts well to change and stays positive during setbacks, • Goes above and beyond to meet or exceed targets, • Demonstrates a proactive, committed approach to work and objectives Note: This role requires on-site presence and may involve travel to project sites as necessary. Flexibility in working hours may be required to support operational needs. If this sounds like the right opportunity for you, we encourage you to apply now. A member of our team will be in touch to discuss the role in more detail.

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native environment. You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale. What You'll Do • Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data., • Work with time-series databases (e.g., KDB, OneTick) and Parquet-based file storage to optimize data access and retrieval., • Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution., • (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows., • Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions., • Implement robust data validation, monitoring, and error handling to ensure data integrity and uptime., • Continuously improve latency, throughput, and scalability to support high-frequency trading environments. What You Bring • 4+ years of experience in software engineering, with a focus on market data systems., • Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure)., • Experience with tick data and building tick data pipelines., • Proficiency with Parquet-based file storage; Iceberg experience is a plus., • Familiarity with Kubernetes, containerization, and modern orchestration tools., • Experience with time-series databases (KDB, OneTick) and C++ is a plus., • Strong problem-solving skills and a collaborative mindset., • Understanding of financial markets and trading concepts is beneficial. This is a chance to build foundational infrastructure that directly supports alpha generation. You'll work in a fast-paced, collaborative environment where engineering excellence drives trading performance. If you're passionate about market data, scalable systems, and working at the core of systematic investing - we'd love to hear from you.

Trade Desktop Support Engineer (Windows Trayport Joule) London onsite to £80k Do you have experience of supporting energy market traders on the Trayport Joule trading screen? You could be progressing your career on the Asset Management side of a global Japanese bank as they expand this product offering within the UK. As a Trade Desktop Support Engineer you will join a small team responsible for building, maintain and administering the desktop IT infrastructure, ensuring it is resilient, secure, reliable and efficient. You'll troubleshoot and resolve operational issues, introduce automation wherever possible and manage the delivery of IT projects. Location / WFH: You'll be based in impressive London based offices, onsite Monday to Friday 0800-1730. About you: • You have experience in a similar environment, supporting users on the Trayport Joule Trading Screen product, • You have PowerShell scripting skills for automation and Excel coding skills, • You're comfortable in an AWS and Azure cloud based environment (no on-prem), • You have strong troubleshooting skills, • You are collaborative and pragmatic with excellent communication and stakeholder management skills, • You're a technologist, likely to have your own home set up, read / write blogs, attend conferences What's in it for you: As a Trade Desktop Support Engineer you will earn a competitive package including: • Salary to £80k + bonus (c20%), • Pension, • Career advancement Apply now to find out more about this Trade Desktop Support Engineer (Windows Trayport Joule) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Backend Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key responsibilities • Back end development for a Python web application, • Integration of AI/ML components with frontend, backend, data and compute infrastructure, • Responsible for high quality software implementations according to best practices, including automated test suites and documentation, • Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them, • Participate in code reviews, continuously improving personal standards as well as the wider team and product, • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: • Demonstrated experience of Python backend development (e.g. using FastAPI), • Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience, • Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential, • Strong skills in Python, • Unit testing experience (e.g. pytest), • Knowledge of agile practices and able to perform in agile software development environments, • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: • Experience with Docker or containerized applications, especially architecture of multi-container applications, • Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), • Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products, • Some experience with frontend software development (e.g. React)

DevOps Engineer (Azure) An Insure Tech start up that are set to make an impact are looking for a DevOps Engineer to join their team. Their platform uses an intelligent algorithm across different insurances to provide full coverage- changing the way people go about insurance for big events. This is a great opportunity to get involved with a very well backed start up, already making a profit, and help them re built their product in a new stack! The role: • You'd be working closely with the CTO as the sole DevOps Engineer, • Building scalable infrastructure to support their high-performance platform, • Drive best practices and champion modern development practices, • Optimize performance and costs What they need from you: • An expert in Terraform (this is an absolute must), • Experience in Azure, • Experience in start up/ scale up environments, • Ideally domain experience in fintech Key Details: 📍London based, 2 days a week onsite 💸Salary up to £90k (depending on seniority/experience)

Contract Principal Consultant Engineer (Cloud & Engineering) Hybrid (3 days onsite per week, West London) Rate: £575 to £625 per day (Outside IR35) Contract Length: 3 months with option to extend • Are you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ?, • Do you thrive at the intersection of technical strategy, architectural design, and customer success? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation. Following continued growth, they’re expanding their senior technical leadership team to shape and deliver large-scale customer engagements. As a Solution Architect / Principal Consultant, you will: • Define end-to-end technical architectures that solve complex business challenges., • Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction., • Lead multi-disciplinary teams through architecture, design, and implementation, ensuring scalability, security, and performance., • Influence technology decisions across modern programming, infrastructure, and automation ecosystems., • Act as a trusted advisor: translating business objectives into technical solutions that deliver measurable impact. This is a strategic, customer-facing role requiring both depth of technical expertise and strong commercial awareness. You will have the autonomy to shape engagements, set standards, and influence the direction of both client and internal engineering teams. Technical Profile • 7+ years’ experience in software engineering or cloud architecture, with recent focus on solution design and delivery leadership., • Deep experience with AWS, GCP, or Azure, including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible)., • Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale., • Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript., • Solid understanding of CI/CD, DevOps automation, and secure cloud operations., • Strong communication and stakeholder management skills — able to influence at both technical and executive levels. Please apply now for immediate consideration to the role.

Role: Senior Backend Engineer (Product) Location: Hybrid - London Compensation: Up to £130,000 + equity We’re supporting a next-generation AI company developing a groundbreaking platform that automatically creates and scales immersive 3D environments. The team is bringing world-class technology from research to reality — turning complex creative workflows into seamless, intelligent systems. As a Senior Backend Engineer, you’ll own the architecture behind this core product. You’ll design APIs that power creative tooling, orchestrate large-scale compute workloads, and shape the technical foundations of a platform redefining what’s possible in 3D content creation. What you’ll do • Build and scale backend services and APIs for web and desktop applications., • Design and implement distributed systems for async processing, ML workflows, and asset pipelines., • Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience., • Drive observability, performance tuning, and deployment automation across the stack., • Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have • 5+ years of experience developing production-grade backend systems and APIs., • Strong skills in Python (FastAPI or similar) and modern cloud infrastructure., • Deep understanding of system design, scalability, and reliability., • A product-oriented mindset — you design with end users and UX impact in mind., • Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves • Experience with cloud-native infrastructure (AWS, GCP, or Azure)., • Familiarity with auth, billing, or subscription systems., • Background in 3D graphics, creative tooling, or ML pipelines., • Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This is a rare opportunity to join an early-stage team backed by leading deep-tech investors, building the foundation of a platform that fuses AI, creativity, and large-scale 3D generation. If you love architecting systems that empower creators and push technology forward, we’d love to hear from you.

Job Title: Full Stack Software Engineer Location: London (Hybrid / Flexible) Type: Permanent or Contract Clearance: Active Enhanced DV or DV clearance preferred | SC clearance considered Salary: Competitive (based on experience & clearance level) We’re working with a specialist digital consultancy delivering secure, user-centred solutions across government and national security sectors. They’re looking for talented Full Stack Developers who can contribute to mission-critical systems - blending strong back-end development in Go with solid Front-End (FE) knowledge, particularly in React. This is an opportunity to work in highly secure environments on meaningful projects that directly impact national capabilities. You’ll collaborate within agile, multi-disciplinary teams that value innovation, technical excellence, and continuous improvement. Key Responsibilities • Design, develop, and maintain full-stack applications using Go (Golang) and React, • Collaborate with designers, DevOps engineers, and product teams to build scalable, user-focused services, • Ensure high standards of software quality through code reviews, automated testing, and CI/CD practices, • Participate in architecture discussions and technical design sessions, • Integrate APIs and backend systems into modern, accessible front-end interfaces, • Contribute to continuous delivery pipelines and infrastructure-as-code practices, • Maintain awareness of security and performance in all aspects of delivery Key Requirements • Active Enhanced DV clearance (preferred) – essential for access to secure projects (Can be regular DV or SC), • Proven experience as a Full Stack Software Engineer, • Strong knowledge of Go (Golang) for backend development, • Solid Front-End experience – ideally with React, TypeScript, and modern UI patterns, • Experience working within Agile / DevOps delivery environments, • Understanding of secure coding practices and working within classified or government settings, • Excellent problem-solving skills and a proactive approach to technical challenges, • Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: • Exposure to cloud platforms (AWS, Azure, or GCP), • Experience with containerisation (Docker, Kubernetes), • Familiarity with CI/CD tools and automation pipelines, • Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space and software development expertise, then please apply now!

Full Stack Software Engineer (Full-Stack) Location: London (Hybrid, 4 days per week) Salary: £80,000 – £105,000 (depending on experience) + equity About the Role We’re looking for a Senior Software Engineer to play a key role in scaling a core product with an ambitious, early-stage B2B fintech SaaS company. The team is building a high-performance platform used by enterprise clients in heavy-duty and transactional industries, combining cutting-edge technology with seamless user experience. This is a hands-on position where you’ll take ownership of critical systems, influence architecture, and help drive technical excellence across the stack. You’ll work closely with product, design, and fellow engineers to build clean, reliable, and scalable systems that underpin financial workflows and payment infrastructure. What You’ll Bring • 5+ years of commercial software engineering experience, • Proven experience in SaaS or payment systems, • Strong proficiency in full-stack development using an object-oriented backend language (.NET) and a modern JavaScript framework (ideally React), • Solid understanding of databases, API design, and web architecture, • Experience with cloud platforms (AWS, Azure, or GCP), • Strong engineering fundamentals: clean code, testing, CI/CD, version control (Git), • A proactive, ownership-driven mindset: be able to take initiative and deliver in a fast-paced startup environment, • Excellent collaboration and communication skills If you’re a driven engineer who thrives on ownership, impact, and elegant solutions — apply today.

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

We’re looking for a skilled engineer with strong experience in IBM DataPower and Mainframe data systems to support secure data exchange, authentication services, and integration between legacy and modern platforms. The ideal candidate will combine data engineering fundamentals with middleware / security gateway expertise, ensuring data integrity, authentication, and performance across complex enterprise environments. Key Responsibilities: • Design, implement, and maintain IBM DataPower Gateway solutions for secure API, web service, and data access., • Configure and manage authentication and authorisation mechanisms (OAuth, LDAP, SAML, certificates, etc.)., • Support integration between mainframe systems (z/OS, DB2, MQ) and modern data platforms., • Develop, test, and optimise data flows, ensuring scalability, performance, and compliance., • Troubleshoot DataPower and mainframe data connectivity or security issues., • Work closely with application, security, and infrastructure teams to support enterprise data exchange initiatives. Skills & Experience: • Strong hands-on experience with IBM DataPower Gateway (XI52 / IDG / v10)., • Solid understanding of authentication, authorisation, and encryption protocols (TLS, OAuth, JWT, SAML)., • Experience with Mainframe technologies (COBOL, DB2, JCL, MQ, z/OS Connect, API Connect)., • Knowledge of API integration, data pipelines, and ETL processes., • Scripting or automation skills (Python, Shell, or Groovy) beneficial., • Experience in secure data engineering and compliance-driven environments (banking / government / enterprise).

Senior Software Engineer (Python) | Institutional | London (Hybrid) | Up to £100k Albert Bow has partnered with a fast-growing global fintech platform transforming how institutional clients access digital assets. The team is building high-performance, low-latency trading systems at the forefront of financial services. The Role: Join a dedicated, high-performing engineering team to build and maintain Order Management Systems, exchange gateways, and risk management systems. You’ll work on critical infrastructure powering institutional trading. What You’ll Do: • Build scalable, high-performance trading services using Python and SQL, • Develop and maintain OMS and exchange connectivity systems, • Apply best practices in multithreading, network programming, and performance tuning, • Collaborate across teams to improve system reliability and efficiency, • Contribute to architecture and system design in a fast-paced environment What You’ll Bring: • Strong Python and SQL experience, • Experience with low-latency, high-throughput systems (trading, fintech, or real-time applications), • Familiarity with multithreading, network programming, and performance optimization, • Understanding of algorithms, data structures, and distributed systems, • Experience in trading systems or financial infrastructure is a plus, but blockchain/crypto experience is not required, • Passion for building high-quality, well-tested software Why This Role Rocks: • Hybrid London-based role with flexible remote days, • Opportunity to work on cutting-edge institutional financial systems, • Budgets for learning & professional development, unlimited vacation, Apple equipment Apply here or send your CV directly to . Thanks, Caila

Commissioning Engineers – Water Infrastructure Projects (Outside IR35) Location: Various sites around London Contract: Long-term freelance / Outside IR35 Rate: Competitive day rates (dependent on experience) Deliver Excellence in Water Infrastructure Commissioning We’re looking for experienced and motivated Commissioning Engineers to join major water infrastructure upgrade programmes across the Thames Water region and beyond. These roles are suited to engineers with a strong MEICA commissioning background particularly within wastewater treatment, clean water, or pumping station environments—who can deliver to high technical and safety standards. The Roles We have multiple long-term contract positions available, including: • Commissioning Engineer – (wastewater treatment upgrades), • Commissioning Engineer – London / M25 corridor (clean & wastewater network projects), • Lead Commissioning Engineer – Framework delivery teams (project integration & testing leadership) All positions sit outside IR35, offering strong continuity of work within the AMP8 investment period (2025–2030). About You You’ll bring: • Proven experience in MEICA commissioning within the water sector (clean or wastewater)., • Ability to manage FAT/SAT, ITPs, and full system handover documentation., • Strong understanding of process, electrical, and control systems integration., • Excellent coordination with design, delivery, and client representatives., • A proactive, solutions-focused mindset and ability to work independently on live sites. Looking to learn more, please feel free to apply and I will arrange a call.

We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success. The role: • Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation., • Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases., • Deliver Proven Solutions — Experiment rapidly using PyTorch. Contribute to benchmarking and ongoing improvements., • Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals., • Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation., • Lead a team of ML Engineers Requirements • PhD (or equivalent) in Computer Vision, Machine Learning, or related field., • Proven record deploying large-scale CV models in production., • Strong Python skills with PyTorch or TensorFlow expertise., • Deep understanding of modern CV architectures, especially LVMs and Transformers., • Experience with multimodal data (images, video, text) and MLOps workflows., • Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success! For further information on this Staff Computer Vision Engineer position, apply below! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Venn Group are working with a University to hire an Senior Network Engineer on a contract basis, to provide expert-level technical support, resolve complex issues, and to assist with their Network re-architecture. This role is crucial to ensuring seamless network infrastructure across the University. Employment type: Contract Location: Central London Onsite requirement: 1 day per week Salary: £500 Day rate Responsibilities in post: • Lead the design, implementation, and support of core data networking and wireless infrastructure, ensuring systems meet user needs and align with the University’s IT strategy., • Drive capacity planning and technical development for network services, improving processes, tools, and documentation to enhance support and service delivery., • Develop and test network solutions, focusing on data, voice, and wireless technologies; contribute to strategic planning and service improvements based on feedback and research., • Coordinate with external vendors to ensure effective delivery and support of third-party network and telecom services., • Lead project work using the Information Services framework, managing your own tasks and supporting the team to meet deliverables and customer expectations., • Provide training and documentation for Information Services staff, ensuring high service standards and adherence to ITIL practices., • Collaborate across departments to support integrated IT services and promote business continuity, sustainability, and corporate responsibility., • Ensure proper network management and documentation, supporting disaster recovery and staying current with evolving networking standards and technologies., • Handle support requests and troubleshooting, proactively addressing performance issues and ensuring timely responses to user queries via the Service Desk., • Perform additional duties as assigned by the Team Lead, within your area of expertise. Essential Experience • Essential: Working on large Networking / NAC / DDI / WiFi projects, ideally concurrently as part of wider network re-architecture projects., • Essential: 5+ years’ experience in Senior Networks technical roles., • Essential: SME and Technical leadership experience, working and collaborating as part of a team., • Essential: Excellent communication, engagement, proactive, positive, can do attitude., • Essential: experience with Palo Alto firewalls, Aruba & HP switches, Infoblox DDI, Meraki & Aruba Wi-Fi, Aruba ClearPass., • Essential: Working in an ITIL environment with change & incident management., • Essential: Presenting technical solutions confidently to relevant approval boards., • Essential: Creating and reviewing High and Low level technical documentation, technical standards and processes. As part of the role you will need experience in. • DDI (DNS DHCP IP) cleanse, config, consolidation., • VLan, subnet & security zone config & migrations., • Edge, distribution switch config, installation / replacements., • Core switch replacement., • WiFi AP config, installation / replacements., • 802.1x & NAC config & deployment., • Citrix Netscaler MFA configuration., • Monitoring & alerting solution configuration & deployment. This role is moving quickly so early applications are encouraged to avoid missing out. Venn Group is an equal opportunities employment business and employment agency and welcomes applications from all candidates. To apply or for a further discussion, contact Sam on 07441916131

Senior Software Support Engineer Hybrid – London £85,000 - £100,000 An innovative eCommerce SaaS company in London who have a global customer base and extremely innovative product suite are in need of an experienced Support Engineer (Software & Infrastructure). This will be a hugely impactful role, working with Ruby on rails & JavaScript SaaS applications, AWS cloud environments and Linux-based systems. The new Senior Software Support Engineer will be part of a senior team and focus on identifying software issues across a broad range of software products, focusing on fixing bugs and the route cause analysis of these issues. If you have a full stack software engineering background (JavaScript and either current or previous Ruby on Rails) and really see the importance of ensuring a positive user experience through maintaining and improving software applications, this could be the Senior Software Support Engineer opportunity for you! What You’ll Do • Own product stability end-to-end: investigate, reproduce, and resolve issues across the stack., • Define and optimise our bug fixing and resolution process., • Always look to improve user experience through route cause analysis., • Collaborate with Support, Product, and Engineering to prevent repeat issues., • Build automation to streamline debugging, triage, and regression prevention., • Improve system performance, reliability, and developer experience. What You’ll Bring • Strong experience with modern JavaScript frameworks, a good understanding of Ruby on Rails code working with SaaS applications., • Skilled with SQL databases at scale and comfortable in Linux environments., • Proven ability to diagnose and fix complex production issues in large systems., • A product mindset — you think about user experience and usability as much as code., • Strong debugging, system design, and performance optimisation skills. Why You’ll Love This Opportunity… • High-impact work: every fix improves usability for hundreds of thousands of users., • Results-driven culture with short feedback loops and autonomy to ship improvements fast., • Hybrid setup: 2 office days, 3 remote., • Great Salary: £85,000 - £100,000 + Bonus!, • 30 days holiday + bank holidays., • Private health insurance, pension via salary sacrifice, and new MacBook., • “Work from Anywhere” up to 4 weeks per year., • Regular team lunches, quarterly events. If you have the right mix of experience to excel in this Senior Software Support Engineer role please apply ASAP with a copy of your CV – feel free to reach out to me directly on LinkedIn – Richard Thexton, NearTech Search.

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

Full Stack Engineer – AI Startup – Up to 85k 🚀🧠 💰 Salary: £60,000 - £85,000 + meaningful equity 🏙️ Location: London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering high level impact to their customers. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both backend and frontend You’ll thrive in this role if you: ✅ Love building and shipping quickly ✅ Enjoy working closely with customers and value their needs ✅ Are excited by deep technical challenges and solving them simply, don't over complicate it ✅ Bring ideas and improvements to their engineering processes ✅ Are adaptable and comfortable working across their stack ✅ Understand the working dynamics of a fast paced start-up If this role sounds like it could be of interest, apply now! Senior Full Stack Engineer – AI Startup – Up to 85k 🚀🧠

Data Engineer | 6 Month Contract | Outside IR35 | London We’re looking for an experienced Data Engineer to join a leading technology-driven business on an initial 6 month contract. This is a hands-on, onsite position where you’ll be responsible for designing, building, and maintaining scalable data models, pipelines, and cloud infrastructure that power business-critical insights. Location: London (on-site) Contract: 6 Months (very likely extension) Rate: £450-550 p/day Start date: ASAP Required Skills: • Strong expertise with MSSQL Server and OLAP/Tabular models (SSAS Tabular, Azure Analysis Services, or Power BI Semantic Models)., • Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs)., • Proven experience building ETL/ELT pipelines using tools such as SSIS, dbt, or Airflow., • Solid understanding of database administration, tuning, and performance optimisation across MSSQL and PostgreSQL. Key Responsibilities: • Design and maintain data models that meet business requirements, ensuring scalability, consistency, and accuracy., • Build and manage ETL/ELT pipelines to integrate data from S3 and various sources into the analytical layer., • Administer and optimise MSSQL Server and PostgreSQL databases for performance and reliability., • Collaborate with internal teams to improve data availability, reliability, and performance across systems., • Design and maintain secure, scalable AWS cloud infrastructure supporting analytical workloads., • Create and maintain dimensional and semantic data models for Power BI and Excel integration., • Evaluate new data modelling tools and techniques to continuously improve efficiency and scalability. If you're interested, apply now for immediate consideration.

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML), you’ll be the technical lead for a newly formed AI Engineering function. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do • Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence., • Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools., • Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI., • Set the technical direction for backend and AI integration best practices., • Partner with cross-functional teams to identify and deliver high-value AI applications., • Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring • 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business., • Strong knowledge of LLMs, prompt engineering, and fine-tuning approaches., • Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate)., • Proficiency in Python plus at least one other backend language (TypeScript or Java preferred)., • Proven experience with AWS, containerisation, and infrastructure as code (Terraform, Docker)., • Solid understanding of API design, data modelling, and microservice architecture., • Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment • Languages: Python, TypeScript, Java, • AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG), • Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker, • Databases: PostgreSQL, MySQL, Redis, vector databases, • DevOps: GitHub, CI/CD pipelines Why Join • Competitive salary and comprehensive benefits package, • 25 days annual leave + bank holidays, • Paid sick leave and parental leave, • Hybrid working with a central London office (bike storage and showers available), • “Work from Abroad” policy (up to 5 days per year), • Pension scheme, • Collaborative, inclusive, and forward-thinking engineering culture, • Strong focus on career development and ownership

We are looking for a Senior Software Engineer with strong expertise in .NET and AWS to join our client Key Responsibilities • Design, develop, and maintain scalable, high-performance software solutions., • Develop and manage Infrastructure as Code (IaC) using AWS CDK (Python) to automate deployment and cloud resource management., • Drive code quality through automated testing, unit testing, and adherence to clean code principles., • Manage and optimize CI/CD pipelines to improve delivery efficiency., • Monitor system performance, troubleshoot issues, and ensure optimal uptime and reliability., • Implement and uphold security best practices across all applications and infrastructure., • Participate in agile ceremonies and promote a continuous improvement mindset within the team., • Experience as a Senior .NET Engineer, ideally within financial services or a similarly complex domain., • Strong hands-on experience with AWS and Infrastructure as Code, particularly AWS CDK in Python., • Familiarity with Entity Framework (or similar ORM frameworks) and contract-first system design., • Solid understanding of automated testing frameworks and unit testing principles., • Agile methodologies and a collaborative, growth-oriented mindset., • Excellent problem-solving, analytical, and communication skills. Technical Skills • Proficient in back-end development using .NET., • Strong understanding of microservices architecture and cloud-based systems., • Solid knowledge of database design (relational and/or NoSQL)., • Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration)., • Proficiency with Git for version control and JIRA for agile backlog management., • Experience in CI/CD tools and pipelines., • Ability to produce clear, well-structured technical documentation., • Strong collaboration skills and the ability to work both independently and as part of a team.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Insight Global is seeking a Desktop Install Engineer to support one of the world’s leading investment banking firms, based in London, on a 12-month contract. You will be expected to work 4 days per week. These days will be: Friday, Saturday, Sunday and Monday. This role focuses on delivering essential technical support for the firm’s desktop infrastructure, ensuring a seamless experience for users during a major network upgrade initiative. Responsibilities include performing infrastructure validations for end-user computing and telephony systems, conducting login tests, Zoom functionality checks, and telephony diagnostics. Installations and technical assessments will primarily take place over weekends, while end-user support will be provided on Mondays following upgrade activities. Targeting the following skillsets: • Experience deskside support experience., • Possess basic troubleshooting experience., • Experience with Cisco Telephony, and Windows., • Excellent written and verbal communication skills., • Strong stakeholder engagement and management skills to provide support., • Possess a high sense of autonomy, reliability and proactive communication.

Backend Engineer - Python, Rust Paying £90k-£140K + Equity 5 days a week onsite in Central London Oliver Bernard have partnered with a stealth AI company, founded by world-class engineers with backgrounds from top-tier Silicon Valley firms, is looking to grow its core engineering team in London. This is a rare opportunity to join a well-funded, product-focused startup that's tackling one of the biggest challenges in applied AI: bridging the gap between general models and real-world processes. We’re hiring a Backend Engineer with a strong backend foundation to join a highly technical, fast-moving team. The company is building complex systems that interact with new and novel technologies—this isn’t your typical product work. You’ll play a key role in delivering robust, high-performance user-facing platforms and building infrastructure that enables rapid iteration and deployment. The team is obsessed with quality, speed, and pushing the boundaries of what’s possible with AI. Your Background • 3+ years of professional experience in software engineering, • Strong expertise in Python and SQL (core stack), • Experience shipping complex products or systems, • Passion for learning and solving hard problems, • Bonus: Exposure to Rust, C, or TypeScript What You’ll Do • Own and build critical components of a fast, user-facing platform, • Work closely with a London-based team on infrastructure and feature development, • Tackle engineering challenges that require creativity, not cookie-cutter solutions, • Iterate constantly on a product that adapts to cutting-edge AI capabilities Role Details • Location: Central London (5 days a week on-site), • Salary: £90,000 – £140,000 + equity, • Work type: Full-time, permanent Please apply now for more information Backend Engineer - Python, Rust

Our client is a global quantitative and systematic investment manager operating across all liquid asset classes. They apply a technology- and data-driven, scientific approach to investing — combining deep expertise in research, engineering, data, and trading. This collaborative and innovative culture enables them to tackle complex challenges and deliver high-quality, consistent returns for their investors. Role Overview We are seeking an experienced Storage Systems Engineer to join their infrastructure team. The successful candidate will collaborate closely with Windows, UNIX, Network, and Database teams to design and implement solutions that meet shared storage requirements across a diverse and high-performance environment. This role involves end-to-end ownership — from product selection and vendor management to architecture design, implementation, and ongoing maintenance. A key responsibility will also include developing and maintaining robust data backup and recovery solutions, contributing to the firm’s overall business continuity strategy. While the position has a strong design component, it remains a hands-on technical role requiring deep expertise in enterprise-grade storage systems. Key Responsibilities • Design, deliver, and maintain optimized storage infrastructure to support critical business systems and trading operations., • Collaborate with cross-functional infrastructure teams (Windows, UNIX, Network, Database) to define and implement shared storage solutions., • Build and manage vendor relationships, including evaluation and selection of storage products and technologies., • Design and implement scalable and performant storage networks (e.g., SAN, NAS) and data backup systems., • Develop and manage data protection and disaster recovery strategies in alignment with business continuity plans., • Monitor, troubleshoot, and optimize storage performance across multiple environments., • Create and maintain high-quality technical documentation and operational procedures. Required Experience & Skills • 5+ years of experience in storage systems administration and platform engineering., • Proven track record in delivering, tuning, and maintaining enterprise-grade storage solutions., • Strong working knowledge of storage protocols such as SMB, NFS, and S3., • Solid understanding of both Linux and Windows operating systems., • Demonstrated experience in designing and implementing data backup and recovery solutions., • Strong collaboration skills with the ability to work effectively in a cross-functional technical team., • Excellent communication, documentation, and problem-solving abilities.

Lead Site Relability Engineer – EdTech – AWS, Kubernetes, Terraform Oliver Bernard are currently working with an established EdTech, based in London, looking to expand their SRE function with a Lead level engineer. The incoming profile will have the chance to work on a variety of greenfield projects, and be able to help grow and scale their SRE practices whilst leading an existing team of 5-6 engineers. A well-cultured and tight knit environment, the company have a small team that competes heavily with their sizeable competitors. To be considered for this opening you’ll need at least 7-8 years’ experience, encompassing the following: • Recent experience in a Lead SRE capacity, coaching / mentoring other engineers, • Hands-On Cloud experience with AWS and AWS Services, • Expert knowledge of Containerisation with Docker and Kubernetes, • Strong Infrastructure as Code experience with Terraform, • History of working across CI/CD pipelines, • Monitoring and Observability experience with Prometheus, Grafana, and / or DataDog, • Prior experience overseeing Change and Incident Management processes, • Previous work in an Architectural capacity is also a massive bonus This position is open to Lead level Engineers, able to offer £80-90K, and operates a remote first model (with only quarterly visits required). Please apply here to register interest in this opportunity. Lead Site Relability Engineer – EdTech – AWS, Kubernetes, Terraform

I’m working with a leading structural and civil engineering consultancy in London that’s looking to bring on board an experienced Senior Structural Engineer. This is a fantastic opportunity to join a forward-thinking team delivering complex and sustainable design solutions across major building and infrastructure projects. The Role You’ll take a key role in leading design delivery, from early concept stages through to construction, while mentoring junior engineers and collaborating with architects, contractors, and project teams. The role offers a blend of technical challenge, design innovation, and leadership responsibility. What You’ll Be Doing • Lead and review structural designs across diverse projects., • Deliver practical, efficient, and sustainable engineering solutions., • Collaborate with multidisciplinary teams to ensure design quality and buildability., • Provide technical guidance and mentorship to developing engineers., • Carry out design checks, calculations, and ensure compliance with UK standards., • Attend site visits and resolve technical issues during construction. What They’re Looking For • Chartered (or near Chartered) Engineer with IStructE or ICE., • Around 8+ years’ experience in structural design and delivery., • Strong grasp of analysis software and relevant design codes., • Confident communicator with a collaborative, solution-focused approach., • Genuine interest in sustainability and pushing technical boundaries. Why It’s a Great Move You’ll join a consultancy that values openness, teamwork, and technical excellence, where engineers are trusted to lead and make an impact. Expect exposure to high profile London projects, autonomy in your work, and ongoing professional development. If this sounds like the right next step for you, get in touch today with a copy of your updated CV. Please note: You MUST have right to work in the UK for this role and MUST have a background as a Senior Structural Engineer in the UK.

About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on AI Engineer (AVP level) to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen. What You’ll Do You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption: • Architect and develop cutting-edge platform services for AI-driven trading., • Collaborate with internal infra/platform teams to align capabilities and avoid duplication., • Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes., • Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed., • Work across organisational boundaries and champion modern engineering trends., • Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack • Programming: Python (Java familiarity is a plus)., • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more., • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Dfferent • Direct Impact: Build AI tools that traders and quants use daily to optimize strategies., • Creative Freedom: Open collaboration and the chance to bring your ideas to life., • Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For • 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles., • Strong programming skills in Python; passion for code quality and testing., • Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment), • Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation)., • Experience working in a fast-paced front-office environment in either engineering or analytical roles., • Passion for being hands-on and contributing to a collaborative engineering culture. Nice to Have • Experience with on-prem Hadoop and Kubernetes., • Familiarity with AWS cost management and optimization tools., • Knowledge of front-office developer workflows in financial services.

University of the Arts London (UAL) is seeking to appoint a BMS Engineer to be accountable for the Engineering Infrastructure, technical delivery and compliance of all UAL Campus buildings, in partnership with the Hard FM term contractor. UAL is a global leader in creativity, innovation, and invention across the knowledge economy. Comprising six renowned Colleges and four Institutes across London, UAL continues to shape the future of art, design, fashion, communication, and performing arts. In the 2025 QS World University Rankings by Subject, UAL is ranked 2nd in the world for Art and Design for the seventh consecutive year, reaffirming its status as a creative powerhouse. With a vibrant, multicultural community of over 20,000 students from more than 130 countries, UAL fosters an inclusive and dynamic environment that nurtures the next generation of creative talent. Estates is a busy department delivering a diverse range of services to staff, students and visitors to the University, which includes Facilities Management and associated contracts, Estates Development, Strategic Projects, Sustainability and Risk and Compliance. As BMS Engineer, you will support in leading and managing all engineering requirements relating to the Building Management System (BMS), ensuring that UAL meets all statutory and regulatory requirements. Fulfilling the roles of assessed and approved persons for the control and monitoring of the Building Management System (BMS), the postholder will also be responsible for the overall management of the University Building Management Systems (BMS) and Building Controls, keeping up to date with relevant technical and legislative developments to ensure compliance. You will be responsible for any design, specification, site supervision and financial cost control for any works carried out on the Building Management System (BMS) and Building Controls, whether as major or minor works projects, meeting the requirements of the University and is within any financial constraints. The key contributions of the postholder are spread across four key deliverables • Delivery of BMS Operations, • Sustainability, • Estates Development, Long Term Maintenance and Capital Projects Support, • Health and Safety We are seeking a hands-on, qualified BMS Engineer, who has a degree in a related subject e.g. Electrical or Building Services Engineering or an equivalent level of knowledge and analytical skills gained through extensive work experience. (Consideration will be given to candidates with HNC qualifications who possess extensive relevant experience in a similar position and can demonstrate the depth of knowledge necessary). You will have extensive knowledge/experience on building controls gained in a proprietary “controls house” environment relating to a BMS, including conservation of energy in a large organisation, monitoring of plant status, interpretation of alarms and undertake basic fault finding and corrective action on the BMS, Planned Preventative Maintenance (PPMs) and first line response to reactive calls. You will also have strong experience of Permit to Work procedures and good knowledge of Health & Safety appertaining to maintenance in occupied premises, including but not limited to management of contractors. You will have excellent interpersonal skills, with the ability to proactively engage with team members and wider stakeholders. The Candidate Brochure can be viewed at ___ For a briefing discussion please contact our retained advisor Connor Humpage () at MRG. Applications should consist of a CV and covering letter (no more than 1-2 Pages) and should be sent to Closing date for applications is Sunday 23rd November 2025. UAL is committed to creating diverse and inclusive environments for all staff and students to work and learn – a university where we can be ourselves and reach our full potential. We offer a range of family friendly, inclusive employment policies, flexible working arrangements and Staff Support Networks. We welcome applicants from diverse backgrounds, including race, disability, age, sex, gender identity, sexual orientation, religion and belief, marriage and civil partnership, pregnancy and maternity, and caring responsibility.

Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched contract and permanent positions. Our Recruitment Partners all have extensive industry experience, and work with a select group of niche clients, to deliver the best possible experience to the candidate. Our client who has been redefining what’s possible in the built environment for 40 years is looking for an experienced and skilled Service Engineer with a passion for smart technology, problem solving, and customer success. As a Service Engineer you will be used to a hands-on, fast-paced environment and be someone who thrives on solving problems, working independently, and delivering best-in-class service to high-profile customers. To be considered for this role you must have • Proven experience of servicing security systems (CCTV, access control) and IT/network infrastructure with a background in smart buildings or BMS environments, • A strong networking knowledge (IP systems, diagnostics, remote troubleshooting tools) with a technical, fault-finding mindset, • Full UK driving licence, • Any Security system or networking certification (NSI, SSAIB, CompTIA Network+, CCNA, etc.) is desirable, • Any ITIL or similar service management experience is desirable You will • Deliver reactive and planned maintenance across CCTV, access control, and network systems, diagnosing and resolving complex technical issues within the client’s SLA, • Collaborate with client security and IT teams to ensure seamless building operations, • Work with third-party vendors to troubleshoot and replace faulty hardware, • Maintain accurate service records and reports, • Participate in an on-call rota for out-of-hours support. Travelling to sites across London, the Southeast, and occasionally wider UK sites If you’re looking for a role that combines technical challenge, customer impact, autonomy, and career growth, we want to hear from you.

Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform 💸Up to £130,000 per annum plus bonus plus stock 🏠Central London office 🖱️Golang, Rust, C, Kubernetes, Linux, Cloud Native, Distributed systems... Are you a Lead Software Engineer with extensive knowledge of building distributed systems? Looking to join a company who are solving genuine problems that disrupt an industry? Interested in working with the best talent on the market and having a real impact on projects? If so... I'm partnered with a very exciting Cloud scale-up who have received record Series A funding and are looking for innovative Lead Software Engineers to join their ambitious team! With a new VP of Engineering who has spent much of their career building out a world leading Cloud platform, the team are growing fast and they're looking to attract the best talent on the market. Having received huge investment, they are on a journey to truly disrupt the industry and are not held back by any legacy code or old customers. This means that they're able to build out state-of-the-art, Greenfield code which can focus on being the worlds most accountable and sustainable cloud provider🌳 What they're looking for in a Lead Software Engineer: • Tech agnostic but preferable experience working with Golang, Rust, Java and/or C/C++., • In-depth knowledge of distributed systems, building solutions at scale where performance, reliability and availability are key considerations., • Confident in leading the definition and creation of solutions from 0-1, solving ambiguous and complex challenges., • Experience working on software infrastructure or building Cloud native software using Kubernetes., • Understanding of systems design and Open Source components., • If you have knowledge of building virtual machines - Virtual servers, virtual networking or network programming - that's a plus... but definitely not needed! If this sounds like you, feel free to apply and I can run through more details! Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry. The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines. If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you. What we can offer YOU Why would you enjoy working with us? • Forward-thinking AI-driven team revolutionizing the sports betting industry., • Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions., • Competitive benefits, including flexible working options and tangible career growth opportunities., • Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure., • Collaborate with a world-class group of professionals innovating at the intersection of data and AI., • Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events., • A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Senior Go (Golang) Engineer | Stealth Fintech | London (Min. 4 days/week onsite in London) £120k - £150k + Equity | Hybrid London Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. They’re creating the world’s first open-source, AI-native "Thin Ledger"—set to replace legacy infrastructure at Tier 1 banks. We're looking for a Senior Engineer specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: • Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB), • Architect distributed, multi-region infra with five-nines reliability, • Contribute to backend, DevOps, and CI/CD decision-making, • Embed AI into engineering workflows & ops, • Self-motivated, problem-solving mindset; open to non-traditional backgrounds. You should have: • Expert backend skill ideally in Golang, or Rust, Zig or C., • Deep understanding of building distributed systems from scratch., • Experience in greenfield projects with high ownership in a Big Tech and / or Start Up environment., • Motivated and excited to work with AI. Why join: • Huge ownership: build core infra from scratch., • Work with a high-caliber team, fast-paced and product-minded founders who have worked in some of the most recognised tech businesses in the world., • Help define an open-source platform from day one., • Clear path to tech unicorn status with fruitful equity included., • Recently raised 8 figures in funding. Apply within if your skillset matches! Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

Site Reliability Engineer – Tier-One Quantitative Fund | LDN (Hybrid) Salary: £130,000 + Bonus/Perks An elite, tech-driven trading firm widely regarded as one of the most selective and innovative in the space is expanding its high-performance Application Support team in London. This is not your typical support role. You’ll be joining a small, tight-knit team where your impact is felt immediately. The position blends real-time production support for cutting-edge electronic trading systems with hands-on engineering and automation work. Key Responsibilities: • Supporting ultra-low-latency trading systems across global markets, • Troubleshooting and resolving time-critical production issues, • Building automation and tooling to enhance system reliability and efficiency, • Collaborating closely with traders, developers, and infrastructure engineers Required Experience: • Around 5 years of experience in technical support or engineering in a trading or finance environment, • Strong Linux systems expertise (debugging, scripting, tuning), • Proficiency in SQL for data analysis and problem investigation, • Solid Python scripting skills for automation and tooling, • Exposure to electronic trading systems and a fast-paced, real-time production environment, • Clear communicator who thrives under pressure and solves problems at the root Sells • Work with an exceptional, low-ego team of engineers and quants, • Huge emphasis on automation, technology, and continuous improvement, • High ownership, fast feedback loops, and interesting technical challenges, • Competitive compensation, bonus, and benefits in a high-impact role If you are interested in the role, please apply directly or email

About the Opportunity This is a rare opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per week in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

About Motilent At Motilent, we’re changing the way we see the gut. Our mission is to transform how digestive diseases are understood, measured, and treated - tackling some of the world’s most significant and complex health challenges. We’re a profitable, growing medtech company based in London, developing world-leading technology used by hospitals and life science organisations across the globe. As demand for our products and research collaborations continues to grow, we’re expanding our engineering team to support the next phase of our journey. Working at Motilent means joining a team at the intersection of clinical science, medical imaging, and advanced technology. You’ll collaborate with researchers, clinicians, and engineers to solve complex, interdisciplinary problems - building systems and tools that push the boundaries of what’s possible in medical imaging and analysis. We’re looking for engineers who want to do more than build software - those who want ownership, growth, and the chance to be part of a team that’s genuinely changing the way we see the gut. Role Overview As a Senior Platform and Services Software Engineer (title negotiable), you’ll play a key role in designing, building, and maintaining the platform and services that power Motilent’s medical imaging analysis and visualisation platform. You’ll work across microservices, event-driven services, and data pipelines, helping to define scalable, reliable solutions that meet the technical and regulatory demands of our medical products. This role is ideal for engineers who enjoy solving complex problems, collaborating across disciplines, and contributing to mission-critical software used in clinical and research environments. This role reports directly to the Technical Product Lead. Salary: £50,000 – £80,000 per annum, depending on experience and scope of responsibilities. Key Responsibilities • Design, implement, and maintain the platform and services supporting Motilent’s imaging analysis and visualisation platform., • Define and implement automated testing and verification processes for the platform and its services., • Contribute to the definition and evolution of Motilent’s platform architecture., • Design, implement, and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines., • Work in accordance with Motilent’s Quality Management System (QMS) to support the release of regulatory-cleared medical devices., • Participate actively in software design discussions and architecture decisions., • Collaborate closely with cross-functional teams including frontend, QA, and product leads to deliver reliable and maintainable systems. Required Skills • Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related technical discipline, and 5+ years of experience as a software engineer within a commercial environment., • Proficiency in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies., • Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP)., • Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes)., • Experience with non-SQL databases (e.g. DynamoDB, MongoDB)., • Strong understanding of RESTful APIs and service integration patterns., • Familiarity with OAuth 2.0 and OpenID Connect (OIDC)., • Understanding of Agile software development, CI/CD pipelines, and version control systems (Git)., • Knowledge of unit testing, software verification, and design patterns. Nice to Have • Advanced proficiency in Java and Gradle., • Experience developing microservices using Spring Boot within containerised deployments (Docker/Kubernetes)., • Proven experience designing and scaling event-driven and distributed architectures in production environments., • Proven experience deploying and managing production infrastructure using IaC, • Deep understanding of AWS services, infrastructure automation, and cloud security best practices., • Background in medical imaging, life sciences, or other regulated software environments (e.g. ISO 13485, IEC 62304)., • Familiarity with DevOps pipelines, observability, and automated deployment at scale., • Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions., • Knowledge of DICOM / DICOMWeb standards or healthcare data integration workflows. Our Tech Stack • Java and Spring Boot, • AWS, • DynamoDB, • Docker, • ...and more Ways of Working • Operate within Motilent’s QMS, maintaining traceability and documentation as required by regulated software standards., • Collaborate closely with engineers, solution architects, and product teams to ensure alignment between development, quality, and regulatory goals., • Based remotely within the UK, with occasional travel to Motilent’s central London office for collaboration, onboarding, or training., • Maintain accurate and current records of training, skills, and experience in line with QMS requirements. Benefits & Employment Details • 25 days of annual leave + public holidays, • Health Insurance Scheme, • Options Scheme, • Pension Scheme, • Full-time, Permanent, • Laptop and hardware provided, • Hybrid work arrangement: Our office is located in Aldgate East (London, UK), but we provide the option for flexible remote work from home, • UK-based applicants only: This opportunity is open to individuals with pre-existing, unrestricted rights to work full-time in the UK. We are not able to offer visa sponsorship. Recruitment process • Click Apply on LinkedIn and upload your CV., • Technical assessment - engineering challenge, up to 4 hours (async)., • Technical interview - 60–90 minutes with our CTO and Solutions Architect., • Follow-up interview - 30-60 minutes with our Technical Product Lead., • Background checks and references., • Offer.

Systems Engineer Leading Technology-Driven Investment Firm London Up to £120,000 + Bonus/Benefits A leading technology-driven investment firm is seeking a Systems Specialist to join its infrastructure engineering team in London. This is an exceptional opportunity to contribute to the design, build, and operation of large-scale compute and storage environments that power a global trading platform. The successful candidate will be involved in every layer of the technology stack—from hardware and operating systems to automation and observability—while gaining exposure to how a world-class investment firm manages its technology infrastructure. Key Responsibilities • Manage a distributed compute environment and several petabyte-scale storage systems, • Install, configure, and monitor RHEL-based Linux environments, • Troubleshoot hardware and software issues across the stack, • Develop and maintain automation scripts and tools (Python, Ruby, or Bash), • Collaborate with internal teams and external vendors to resolve complex issues and improve systems reliability Required Qualifications • Up to 6 years of experience in a technology infrastructure or systems administration role, • Proficiency in Python, Ruby, or Bash scripting, • Bachelor’s degree in Engineering, Computer Science, or a related discipline Preferred Qualifications • Experience with modern software development practices (version control, agile methodologies), • Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible), • Exposure to distributed storage systems and related protocols, • Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana), • Strong written and verbal communication skills, • Demonstrated ability to learn quickly and adapt to evolving technologies, • Ability to work effectively in a fast-paced, collaborative environment

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

Think back to when you last rented or bought your home. The average household spends 40% of income on rent or mortgage. Property is the biggest cost in our lives. Yet the system is completely broken. It still runs on scribbles, spreadsheets, and “sorry, we missed your call.” We’re replacing the entire agency stack with domain-specific AI agents that: • engage tenants, • serve landlords, • handle compliance, • coordinate maintenance All while we sleep. Our first product automates the negotiator. Next: everything else. If you think renting and buying shouldn’t be this broken, join us at Letty. You’ll have a front-row seat in rebuilding the agency model from the ground up. Why us? • Backed by Entrepreneurs First, Europe’s top incubator (funded by the founders of LinkedIn, Stripe, DeepMind)., • Founders with a decade of property experience, running agencies, managing portfolios, living the pain., • Early team: Cambridge ML Engineer & 2x Founding Engineer, and an ex-Deloitte consultant / pro athlete. What We’re Looking For • Problem Solver – You love hard problems and have a track record of solving them., • High Agency & Ownership – You force things into existence. You build, ship, and take responsibility., • Proven Builder – 2+ years as an engineer with a track record of fast, production-grade code shipping., • AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: • 🐍 Python / FastAPI, • ⚛️ TypeScript / React / Next.js, • 🗄️ PostgreSQL, relational databases, • ☁️ Cloud infrastructure (AWS / GCP) and containerisation (Docker) Bonus points: • Experience in early-stage startups or 0→1 environments., • You’ve owned product – from idea to production impact, • Analytics experience (PostHog, Mixpanel)., • Terraform or other infrastructure-as-code tools Your First Month at Letty • Ship on Day 1 – You deploy to production your first week., • Own It All – From feature specs to architecture decisions, you drive outcomes., • Solve Everything – Scaling systems, debugging AI pipelines, hiring your next teammate – whatever it takes. You’ll Thrive Here If You • Take strong stances on product and code quality, • Obsess over solving real operational pain, • Learn fast, work independently, and love the unknown, • Are ambitious. We’re here to win, not play. What We Offer • 💰 £65K - £85K base salary, • 🌱 Founding team equity, • 🚀 Salary increase post-seed (raise in SF, April), • 🌴 25 vacation days + public holidays, • 🏢 In-person office, Hoxton, London Join us at Letty. We’re building the system that will change how your family and friends rent, buy, and sell - finally fit for the 21st century.

Job Title: Design Lead / Associate Civil Engineer Salary: £65,000 – £70,000 (dependent on experience) Location: Croydon Type: Permanent | Hybrid About the Role: Our client is seeking an experienced Design Lead / Associate Civil Engineer to drive the design and delivery of complex water and infrastructure schemes across London and the South East. You’ll be responsible for leading multidisciplinary design teams, overseeing project delivery, and ensuring technical excellence at every stage — from concept through to construction support. This is a leadership role for a technically strong Chartered Engineer who can combine design delivery with project management and client engagement. About the Client: Our client is a specialist advisory and technical consultancy operating across the built and natural environment. Their work spans buildings, infrastructure, and regeneration, with a strong presence across the South East. Guided by their ethos of “Excellence Through Innovation,” they deliver forward-thinking engineering solutions that go beyond compliance, improving outcomes for communities and the environment. Key Responsibilities: • Lead and coordinate civil design across multiple water and infrastructure projects in London and the South East., • Manage multidisciplinary design delivery (civil, structural, geotechnical, and MEICA)., • Oversee feasibility, outline, and detailed design stages, ensuring quality, compliance, and value., • Act as a technical authority and client-facing design lead., • Provide mentoring and leadership to engineers and technicians., • Conduct design reviews, technical appraisals, and risk assessments., • Champion innovation and digital engineering to enhance project outcomes., • Manage budgets, resources, and delivery milestones effectively. What Our Client is Looking For: • Chartered Civil Engineer (CEng MICE or equivalent)., • Degree qualified in Civil Engineering or a related field., • Significant experience in water, wastewater, or infrastructure design., • Proven track record of leading multidisciplinary design teams., • Excellent stakeholder management and communication skills., • Proficient in relevant design and modelling software (AutoCAD, QGIS, InfoWorks, ProjectWise, etc.)., • Preference for Civil Engineers, though strong M&E candidates with relevant experience will also be considered. What Our Client Offers: • Competitive salary up to £70,000, depending on experience., • Hybrid working model with flexibility between office and home., • A collaborative culture built around technical excellence and innovation., • Opportunities to work on major South East infrastructure and water schemes., • ICE-accredited professional development and mentoring. Eligibility: Applicants must have the right to work in the UK.

Hardware Management Engineer – High Performance Infrastructure Location: London - Hybrid Permanent We are partnered with a leading global quantitative hedge fund seeking a Hardware Management Engineer to join their Research Infrastructure Engineering team. You will play a hands-on lead role in managing cutting-edge high-performance trading and research infrastructure, directly supporting research and trading teams on mission-critical projects. This is a fantastic opportunity for an experienced Linux and infrastructure specialist to work at the forefront of HPC (high-performance computing), low-latency engineering, and large-scale systems. Key Responsibilities • Manage and optimise large-scale Linux-based platforms for high-performance trading and research workloads., • Design and implement workload scheduling, high-performance file systems, and storage operations., • Optimise hardware, networking, and kernel performance for low-latency and high-throughput environments., • Partner closely with research and infrastructure teams to deliver scalable, reliable solutions., • Drive automation using Terraform, Ansible, GitLab, Jenkins, and support SDLC best practices., • Provide visibility and performance monitoring using Splunk, Prometheus, Grafana., • Contribute to containerisation and orchestration strategy with Docker and Kubernetes., • Stay ahead of industry trends, conduct POCs, and deliver technical recommendations. What We’re Looking For • 10+ years’ experience in Linux systems administration / platform engineering., • Proven technical leadership in hardware optimisation, kernel tuning, and network/storage performance., • Hands-on experience with DevOps and CI/CD tooling (Terraform, Ansible, GitLab, Jenkins)., • Programming / scripting knowledge in Python, Golang, or similar., • Experience with metrics visualisation tools (Splunk, Prometheus, Grafana)., • Knowledge of containerisation and orchestration (Docker, Kubernetes)., • Experience in hedge funds, trading firms, or other low-latency / HPC environments is highly desirable.

Lead Engineer / Founding Engineer – Stealth AI Startup (PropTech) London | 2–3 days per week in-office (relocation £ available) c£100,000 + Equity We’re working with a stealth-mode, venture-backed AI startup that’s building an intelligent platform to reinvent how the PropTech industry operates. This is a hands-on, high-impact role, perfect for an experienced Senior Engineer ready to step into a Lead position, help shape the product and architecture from day one, and work closely with the founding team to bring an ambitious AI-enabled vision to life. You’ll write production code, make key technical decisions, and play a defining role in building both the core product and the engineering foundations as the business scales. This is an AI-enabled product, so curiosity and initiative is crucial: you’ve explored personal or side projects involving LLMs, LangChain, or AI APIs. What You’ll Do • Stay hands-on: ship high-quality code, build scalable systems, and design data-driven APIs., • Lead technical direction and help shape the product roadmap alongside the founders., • Build, test, and deploy AI-powered features, integrating LLMs and ML pipelines directly into the product., • Take ownership of technical delivery, from architecture to deployment, across an evolving stack., • Collaborate with a small, talented team to rapidly move from idea to live product., • Contribute to building an engineering culture that values speed, creativity, and clarity. What We’re Looking For • Based in London or willing to relocate (relocation support available)., • 5–10 years’ software engineering experience with a proven track record of shipping production systems (not just managing teams)., • Deep experience in backend development, ideally with Python, FastAPI, SQLAlchemy, and PostgreSQL., • A genuine interest in AI — you’ve built or integrated AI/LLM-driven tools, experimented with AI frameworks, or used AI-assisted coding tools., • Curiosity and initiative: you’ve explored personal or side projects involving LLMs, LangChain, or AI APIs., • Strong delivery mindset — you move fast, write clean, maintainable code, and iterate quickly., • Comfortable in early-stage environments where priorities evolve and autonomy is key., • Some experience mentoring or leading small teams is ideal but not essential; this is a role for a builder first, leader second. Tech Snapshot • Languages: Python 3.11+, TypeScript, • Frameworks: FastAPI, SQLAlchemy, Alembic, • Infrastructure: AWS (IAM, SES, Bedrock), • Architecture: Event-driven, API-first, AI-integrated pipelines, • Databases: PostgreSQL Why This Role • Step up from Senior Engineer to Lead Engineer in a venture-backed AI startup., • Shape the product, stack, and engineering standards from the very start., • Work side-by-side with experienced founders on a bold, technically ambitious mission., • Build real, AI-enabled systems that have tangible impact., • Earn meaningful equity and genuine ownership of what you build., • Hybrid working model, 2–3 days per week in London’s Moorgate offices. Screening Focus To help us get to know you better, please be ready to discuss: • Which AI coding tools (e.g. GitHub Copilot, Cody, ChatGPT, Replit AI, etc.) you use in your workflow., • How you’ve implemented AI/LLM features in recent projects or products., • Any personal or experimental AI projects you’ve built or contributed to. If you’re a hands-on engineer who’s passionate about AI, loves solving complex problems, and wants to help build something ground-breaking from the ground up, we’d love to hear from you.

Hello potential future Ki team member. Are you looking for a technical role in a collaborative environment where innovation is its major driver? Ki is looking for an experienced Full Stack Engineer to join our growing team. Who are we? Ki is the biggest global insurance tech company you’ve never heard of, unless you’ve been looking to insure a satellite, wind farm or music festival recently. We launched in 2021 on the back of a fund raise that delivered $500m of investment, making us one the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. There are hardly any industries left that are mainly paper based, but the specialty insurance market is one. Together with partners at Google and UCL we developed Ki and created a platform that helped insurance brokers place risk in a fast and frictionless way. We’re continuing to lead the charge on the digitalisation of this market and to realise this goal we need more excellent minds to work with us to realise more opportunities. We exist to make it easy for insurance employees to focus on the clever things and to spend more time building relationships than filling out endless forms. If helping us transform a multi billion global industry sounds exciting to you let’s get to the formal bit. What’s the role? We're looking for a Full-stack Engineer to join our team. You’ll work on our core offering – which is the platform that has delivered the $400m revenue we achieved in 2021 and are looking to grow exponentially over the next few years. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we have open and honest conversations about what’s working and are quick to adapt to continuously improve. You’ll build robust and scalable software for business critical, web-based applications as well as eye-catching, functional, efficient, and reusable web and mobile-based sites that drive these web applications. By using experience as mid-senior level engineer working across modern web stack. We speak Kotlin for services and Python when working with data. Our rich UIs are built in React and Typescript. Postgres is our preferred database engine and our infrastructure is entirely cloud based in GCP, defined with Terraform so this experience would be desirable. Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you. You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. If this sounds like a role and a culture that appeals to you, please apply.

Role: Staff Software Engineer (Python | Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer, you’ll build the distributed systems and data infrastructure that power the lab’s next-generation biology platform. From model serving to real-time data processing, your work will form the backbone of a platform enabling scientists to explore and manipulate biological data in entirely new ways. What you’ll do • Design and own backend architecture for large-scale, data-intensive applications., • Develop and optimize APIs that handle complex biological and ML-driven workloads., • Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale., • Deploy and manage infrastructure across Kubernetes and AWS, ensuring robustness and observability., • Drive system reliability through automated testing, monitoring, and fault-tolerant design., • Collaborate across disciplines, working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have • Deep experience building and scaling backend systems and distributed applications., • Strong coding skills in Python, with an understanding of performance tuning and concurrency., • Hands-on experience with Kubernetes, AWS, and modern cloud infrastructure., • Proficiency with databases — schema design, performance optimization, and analytics., • Familiarity with REST APIs, websockets, and authentication/security best practices., • A disciplined engineering mindset — you think about reliability, maintainability, and long-term scalability. Nice-to-haves • Experience with MLOps and model-serving infrastructure., • Background in high-performance computing or large-scale scientific workloads., • Expertise in data pipeline architecture and real-time streaming systems., • Knowledge of scientific or biological computing environments. This is a rare opportunity to join a deep-tech AI lab where backend engineering meets scientific discovery, building the systems that let machine learning models and experimental biology evolve together. If you want to design the infrastructure behind a platform that could change how we understand life itself, we’d love to hear from you.