Production engineer jobs in NottinghamCrear alertas

Multi Skilled Maintenance Engineer Nottingham Nights - 6pm - 6am (4 on 4 off - 12 hours shifts) £54,000 + Overtime + Benefits We are looking for a motivatedMulti Skilled Maintenance Engineer to join a market leading manufacturing company. Reporting directly to the engineering manager you will be a key member in ensuring the production facility is kept running. You will be involved in all aspects of ... ZIPC1_UKTJ

Translate production briefs into accurate 3D layouts, considering rigging, sight lines, and logistics. Passionate about live events and pushing the boundaries of virtual production. We are seeking a highly skilled 3D Visualisation & Virtual Production Specialist to join our team and help design and

A fast-growing, product-focused tech business is looking for a Principal / Lead Software Engineer to guide a skilled engineering team based in Nottingham. This is a primarily on-site role, with some hybrid flexibility, ideal for someone who enjoys hands-on leadership in a collaborative, in-person environment. You’ll guide the development of features and systems across web apps, APIs, and internal tools, working closely with product, design, and engineering teams to bring high-impact ideas to life. You'll combine technical direction with day-to-day coding, team mentorship, and delivery oversight, playing a key role in shaping both the product and the team’s growth. Salary: £80,000 to £90,000 + benefits Location: Nottingham, Hybrid Key Responsibilities • Lead the design and build of new product features, services, and technical systems, • Own features end-to-end—from technical design to testing, deployment, and monitoring, • Write production-grade code alongside the team (this is a hands-on role), • Align technical delivery with business goals through close collaboration with stakeholders, • Mentor and support developers, fostering a culture of learning and improvement, • Maintain high standards for code quality, scalability, and team communication What You’ll Bring • 7+ years’ experience in software engineering, including recent time in a senior or lead role, • Strong experience with Node.js (NestJS) and TypeScript, • A good knowledge of a Front End framework like Vue, React or Angular., • Solid understanding of cloud infrastructure (preferably AWS) and CI/CD practices, • A thoughtful approach to system design, security, and performance at scale, • Great communication and stakeholder engagement skills, • Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview • Backend: NestJS / Node.js / TypeScript, • Frontend: Vue 3 / TypeScript, • Cloud: AWS, • Databases: PostgreSQL / MongoDB, • Tools: Rush (monorepo), GitHub, Notion, Linear, • Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with great people, we’d love to hear from you. Apply now or get in touch to find out more.

Electronics Engineer Location: Nottingham (Hybrid / Flexible) Salary: £50,000 - £60,000 + benefits Type: Full-time An exciting engineering hardware consultancy based in Nottingham is looking for a Electronic Design Engineer to join their collaborative team of hardware and software engineers. They work closely with customers to bring real products to life - from initial specification through to production and deployment. This is a hands-on, customer-facing role, offering exposure to a wide variety of industries, technologies, and complex technical challenges. The Role As a Hardware Engineer, you will take ownership of electronic hardware design across the full product lifecycle, while working closely with customers and internal engineering teams. You will: • Design, prototype, and simulate electronic hardware to achieve high first-pass success on A-model designs, • Develop and manage complex hardware designs, including schematic capture and multi-layer PCB layout (typically 2–8 layers, mixed-signal), • Work across a wide range of technologies, including MCU/MPU systems, RF, power (DC-DC and AC-DC), analogue sensors, digital logic, FPGAs, and memory devices, • Validate, test, and debug hardware using lab equipment, with occasional travel to external test facilities, • Apply Design for Testability (DFT), Design for Manufacture (DFM), and Design for Production (DFP) throughout the development lifecycle, • Review designs against best practice and produce clear, high-quality technical documentation, • Provide technical guidance and problem-solving support to customers, • Communicate effectively with customers, providing updates and responding to technical queries throughout project delivery What They’re Looking For • A degree (2:1 or above) in Electronics Engineering, Computer Engineering, or a related discipline, • 4+ years’ experience in a hardware-focused electronics design role, • Experience working in a customer-facing or consultancy-based engineering environment, • Strong hands-on experience in hardware design, test, and debugging using lab equipment, • Familiarity with mixed-signal and IoT-style embedded systems, • Solid understanding of EMC, Design for Compliance (DoC), DFT, DFM, and DFP, • Experience using Altium Designer (preferred), or other eCAD tools such as Eagle, KiCad, Fusion, or PADS, • Strong communication skills and the ability to produce clear documentation for non-technical stakeholders, • A proactive, organised approach with the ability to manage workload independently with support from team leads Why Apply? • Work on real products from concept to production, • Broad technical exposure across industries and technologies, • Customer-facing role with genuine engineering influence, • Hybrid and flexible working, • Competitive salary and strong benefits package, including private healthcare, pension, and life assurance If you’re a hands-on Electronics Engineer who enjoys variety, customer interaction, and seeing products through to reality, this is a role well worth exploring.

A fast-growing, technology-led SaaS business is looking for a DevOps Engineer with Security Ownership to help scale and secure a modern cloud platform. This is a hands-on role suited to someone who enjoys owning infrastructure, improving reliability, and embedding security best practices into everything they build. You will work closely with engineering teams to design, deploy and secure cloud environments, while taking clear ownership of DevOps and security foundations as the business continues to grow. Role: DevOps Engineer (Security Focus) Salary: Up to £80,000 Location: Nottingham - Hybrid, 2 to 3 days per week in the office What you will be doing: • Owning cloud infrastructure across AWS and modern containerised environments, • Designing, building and maintaining CI/CD pipelines, • Embedding security best practices across infrastructure, deployments and access controls, • Leading on cloud security, monitoring, incident response and vulnerability management, • Improving system reliability, scalability and performance, • Working closely with software engineers to support smooth releases and deployments, • Automating infrastructure using infrastructure as code tools, • Helping shape DevOps and security standards as the platform scales What you will need: • Strong experience in a senior DevOps or platform engineering role, • Hands-on experience with AWS and cloud-native architectures, • Solid background in CI/CD, containerisation and automation, • Proven experience taking ownership of security in production environments, • Familiarity with infrastructure as code tools such as Terraform or similar, • Strong understanding of monitoring, logging and incident management, • Comfortable working in a fast-paced SaaS or digital product environment What’s on offer: • Salary up to £80,000 depending on experience, • Hybrid working, 2 to 3 days per week onsite, • High ownership role with real influence over infrastructure and security decisions, • Opportunity to work on a modern, scaling SaaS platform, • Collaborative engineering culture with a strong focus on quality and best practice If you are a DevOps engineer who enjoys building secure, scalable platforms and wants ownership over both infrastructure and security, this role offers a strong technical challenge and long-term impact.

Electronics Engineer | Nottingham | Up to £60,000 KO2’s client, an innovative Nottingham-based technology company, is expanding its team and looking for an Electronics Engineer. The business develops bespoke electronic products and software solutions, and this role will play a key part in delivering the next generation of high-performance instrumentation. The Role This is a hands-on hardware design position suited to an engineer who enjoys owning projects from initial concept through to prototype build, validation, and final production. You’ll be joining a multidisciplinary engineering team—working closely with embedded software, mechanical, and production specialists—to create advanced electronic systems used in real-world industrial environments. The role is fully on-site in Nottingham, giving you access to extensive laboratory facilities, test equipment, and a highly collaborative technical setup. Key Responsibilities • Design, prototype, and simulate hardware with a focus on achieving high first-pass success., • Develop and maintain complex electronic systems, including schematic capture and multi-layer PCB layout (typically 2–8 layers, mixed-signal)., • Work across diverse technologies: MCU/MPU, RF, DC-DC and AC-DC power, analogue sensing, digital logic, FPGAs, and memory devices., • Validate, test, and debug hardware using lab equipment; occasional travel to external test facilities may be required., • Review designs against industry best practices and produce clear, accurate technical documentation. Qualifications & Experience • Bachelor’s degree (2:1 or above) in Electronics Engineering, Computer Engineering, or a related field., • At least 4 years’ experience in an electronic hardware design role. Technical Skills • Strong proficiency with Altium Designer., • Experience with other eCAD tools (Eagle, KiCAD, Fusion, PADS) is an advantage., • Solid hands-on skills in hardware design, testing, and debugging using standard lab equipment., • Good understanding of IoT-style embedded systems and mixed-signal design. What’s on Offer • Salary: £40,000 – £60,000 (DOE), • Private health insurance for you and your immediate family, • Pension and life assurance schemes, • A supportive, engineering-led working environment, • The chance to work on cutting-edge electronic systems deployed in real industrial applications If you’re an experienced Electronics Engineer who wants to take ownership of complex hardware projects and contribute to innovative product development, this role offers an exciting opportunity to join a forward-thinking team. Apply today with your up-to-date CV and covering letter to KO2 Embedded Recruitment Solutions.

Title: Full Stack Engineer Location: Nottingham Type: Hybrid role About the Role We are seeking a highly skilled Full Stack Engineer to design, develop, and optimize next-generation computer vision software solutions for vehicle-based and cloud-based platforms. This role involves working across the full software stack—from intuitive front-end interfaces to high-performance back-end systems—supporting AI and non-AI computer vision, telematics integration, and edge computing environments. You will collaborate closely with engineering, operations, and customers to deliver scalable, secure, and user-friendly solutions while also mentoring junior developers. Key Responsibilities • Collaborate with development teams, operations, and customers to conceptualize and implement innovative AI-based and non-AI computer vision software solutions., • Design and implement scalable client-side and server-side architectures optimized for vehicle-based computer vision applications., • Develop visually appealing, intuitive, and user-friendly front-end applications., • Optimize applications for edge processing hardware, including Linux environments on AArch64 architectures., • Design, manage, and optimize databases to support complex computer vision and telematics functionalities., • Build efficient, secure APIs to enable seamless integration with telematics platforms and third-party applications., • Test, debug, and optimize software to ensure high performance, reliability, and responsiveness., • Implement robust security measures and data protection protocols for cloud-based video storage systems., • Develop mobile-responsive features with integrated telematics and computer vision capabilities., • Coach and mentor junior software developers, promoting best practices and continuous team growth. Requirements and Skills • Proven experience as a Full Stack Developer., • Prior experience with telematics systems, CCTV video management platforms, or computer vision software products is highly beneficial., • Proficiency in front-end and back-end technologies such as PHP, HTML, CSS, Python and JavaScript., • Experience building responsive user interfaces and integrating computer vision outputs into front-end applications., • Hands-on experience with frameworks such as Flask or Django., • Experience integrating and deploying computer vision algorithms in production environments., • Familiarity with computer vision libraries and frameworks including OpenCV, TensorFlow, and PyTorch., • Experience with databases such as MySQL and MongoDB., • Knowledge of web servers and deployment environments (e.g., Apache, Linux)., • Solid understanding of UI/UX principles with a focus on usability and performance., • Strong communication and collaboration skills., • Ability to work effectively in cross-functional teams., • Excellent organizational skills with a strong analytical and problem-solving mindset., • Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field.

Job: Lead Engineer Location: Nottingham Salary: Up to £60,000 + package Overview We are looking for a Lead / Principal Engineer to take technical ownership of the embedded and edge systems that underpin the clients products. This is a hands-on senior role focused on building edge devices that ingest, process, and manage video and sensor data in real-world environments. You will lead system design, make pragmatic engineering decisions, and work closely across software and hardware to deliver reliable, production-ready platforms. Key Responsibilities Technical Leadership & Architecture • Own embedded and edge system design for AI and non-AI products, • Break down complex requirements into scalable, robust solutions, • Make architectural trade-offs across performance, cost, and delivery, • Provide technical leadership and act as an escalation point Embedded Linux & Edge Systems • Design and maintain embedded Linux platforms, • Develop tooling and diagnostics using shell scripting and Python, • Manage boot processes and services using systemd, • Work confidently in headless environments (SSH, UART, serial consoles), • Support provisioning, monitoring, and remote troubleshooting Networking, Security & Integration • Design secure networking (firewalling, routing, VPNs), • Work with iptables, OpenVPN, and WireGuard, • Integrate compute platforms, CCTV cameras, and peripherals, • Read schematics and PCB diagrams for system-level debugging Collaboration & Documentation • Work with DevOps, backend, and operations teams end-to-end, • Produce clear, practical technical documentation Essential Skills & Experience • Strong hands-on embedded Linux experience, • Ability to work autonomously and guide other engineers, • Proficiency in shell scripting and Python, • Git-based workflows, • Strong networking fundamentals, • systemd and headless Linux environments, • Ability to read electrical and PCB schematics Nice to Have • C programming, • NVIDIA Jetson, • Yocto or Buildroot, • OTA updates (Mender, RAUC), • Video pipelines (V4L2, GStreamer, FFmpeg), • OpenWRT, Docker, CAN bus, device trees, • Exposure to PCB design, mechanical CAD, or manufacturing processes

Maintenance Engineer - No nights!.I'm recruiting on behalf of a major industrial manufacturer who are looking to appoint a skilled Maintenance Engineer to join their engineering team.This is a critical role within a high-volume, fast-paced pharmaceutical production environment, ideal for an engineer

The ideal candidate will have a strong background in mechanical engineering, understanding of industry standards, engineering calculations, documentation and design. We are seeking an experienced and dynamic Mechanical Engineer to join our clients Fire Suppression and Production Systems department.

Production Engineer (Electronics) – Derbyshire/Notts – LM1234 Salary: Competitive Job Term: Full Time/Permanent Job Outline: My client, who is a leading manufacturer of specialist electronic equipment, now seeks an experienced Production Engineer to join their growing team based clos

Senior Production Engineer - Electronic Manufacturing Our client, a leading electronics manufacturer, is seeking a skilled Senior Production Engineer to take ownership of production processes and drive operational excellence across a growing product range. Key Responsibilities of this Senior Produc

🚀 Senior Full-Stack Engineer – TypeScript / React / AWS 💰 Up to £80k | Fully Remote (UK) 💻 Tech Stack: TypeScript, Node.js, React.js, AWS ✅ Slight backend lean We’re on the hunt for a hands-on Senior Engineer to join a fast-moving team delivering real, production grade systems. This isn’t R&D or proof-of-concept work, they’re shipping cloud-native, AI-enabled products that customers actually use. 🔹 About You • 6–8 years’ experience ideally, • TypeScript, React, Node.js wizardry, • AWS experience, • Bonus: React Native 🔹 What You’ll Do • Build event-driven microservices & APIs, • Develop modern, scalable React UIs, • Ship cloud-native systems on AWS, • Collaborate with product & AI specialists to turn ideas into features, • Champion clean, testable, reliable code 🔹 Why Join • Hands-on role with real ownership, • Work with modern cloud architecture & AI products, • Fully remote, but part of a high-performing, collaborative team 📩 Interested? Send over your CV + notice period. 🚀 Senior Full-Stack Engineer – TypeScript / React / AWS

Application Packaging & Deployment Engineer Location: Remote UK - will need to travel occasionally for customer meetings Clearance Requirement: UK Security Clearance (SC) – Mandatory Role Purpose The Application Packaging & Deployment Engineers will be responsible for packaging, testing, and deploying applications using SCCM and Intune. The role ensures software delivery is efficient, standardised, and compliant across the enterprise. Key Responsibilities • Package applications using Admi Studio, InstallShield, and PowerShell., • Ensure consistency by maintaining package standards and naming conventions., • Migrate legacy applications to MSIX or Intune deployment models., • Deploy, monitor, and troubleshoot applications via SCCM and Intune., • Administer and maintain deployment infrastructure (collections, boundaries, distribution points)., • Manage application rollouts across pre-production and production environments., • Produce clear documentation and share knowledge with internal teams., • Contribute to change management and governance processes. Required Skills & Experience • Proven background in application packaging (MSI, App-V, Intune)., • Strong expertise in SCCM (Current Branch)., • Proficiency in scripting (PowerShell, VBScript, Batch)., • Solid understanding of Windows 10/11, Active Directory, and Group Policy., • Hands-on experience with Intune, Autopilot, and Conditional Access. Desirable Skills & Certifications • Microsoft certifications (MCSA, MD-102)., • ITIL Foundation certification., • Experience working in regulated or large-scale enterprise environments.

Senior/Lead Software Engineer – Fully Remote (UK) A global B2B SaaS technology business is building out its European engineering hub and is hiring multiple Senior / Lead Software Engineers (JavaScript) to develop and enhance a mission-critical platform used internationally. These are hands-on individual contributor role with strong ownership — ideal for engineers who enjoy building high-quality software end-to-end and influencing technical direction (without people management). Tech Stack • Frontend: React (JavaScript), • Backend: Node.js (JavaScript), • Cloud: AWS (Lambda, DynamoDB, CloudWatch), • Architecture: Microservices + REST APIs, • Bonus: AG Grid / data-heavy UI experience What you’ll be doing • Owning features end-to-end (design → build → release), • Writing clean, production-quality code, • Supporting technical direction through code reviews and guidance, • Working in an Agile/Scrum team with a modern engineering mindset (incl. AI tools) Requirements • Strong commercial experience with React + Node.js, • 10 years+ Software Engineering experience, • Experience building scalable systems in a microservices/API environment, • Excellent communication and collaboration in distributed teams, • Stable career history Headline Information • Location: Fully Remote (UK based), • Salary: £80,000 - £105,000 based on experience If you're interested in hearing more, please upload your most recent CV. Interviews are due to take place in the next week with start dates ASAP.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI! What we offer: • A collaborative and innovative work environment, • Career growth opportunities towards Technical Lead and beyond, • Exposure to cutting-edge AI-first engineering practices, • 34 days holiday plus your birthday off, • Share options, • Remote and flexible working, • Life insurance, • Income protection, • Private health care, • Eyecare, • On-going career development and training, • Freebies and discounts, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused. If you want to build high-impact technology at the frontier of applied AI and help bring new products and intelligent agents to market, you’ll thrive here.

Senior Full-Stack Engineer Fully Remote | UK Salary: Up to £100,000 Neulinx have partnered with a fast-growing B2B SaaS product company to hire an experienced Senior Full-Stack Engineer to join their engineering team at an important stage of growth. This is a hands-on senior role suited to someone who enjoys building high-quality product features, taking ownership of complex systems, and influencing technical direction through strong engineering practice rather than people management. You’ll work closely with the CTO and Principal Engineer in a small, highly capable team, helping to design, build and scale a modern, multi-tenant SaaS platform used by enterprise customers. What you’ll be doing • Designing and delivering complex features across the full stack, with a focus on scalability, security and maintainability, • Taking end-to-end ownership of areas of the platform, from design through to production, • Contributing to architectural decisions around event-driven systems and SaaS scaling patterns, • Writing high-quality code and providing thoughtful, senior-level code reviews, • Working closely with engineering leadership to refine requirements and make pragmatic technical decisions, • Leveraging AI-assisted development tools as part of your day-to-day workflow What they’re looking for • 8+ years’ experience building production-grade SaaS products, • Strong hands-on experience with Node.js and TypeScript, • Solid full-stack background, with professional experience using React or Angular, • Experience working with relational and NoSQL databases such as PostgreSQL, Redis or MongoDB, • Comfortable working in cloud-native, event-driven environments (AWS preferred), • A product mindset, strong ownership, and the confidence to influence technical direction Nice to have • Exposure to AI or LLM-based systems, • Experience with data or analytics pipelines Why consider it • Fully remote role with a high level of autonomy and trust, • Senior-level influence without people management responsibility, • Modern tech stack and an engineering-led culture, • Private healthcare included, • Scope to grow technical ownership as the platform scales Interested? If you’re a senior full-stack engineer who enjoys being hands-on, solving meaningful problems, and working closely with technical leadership, upload your CV or get in touch with Neulinx for a confidential conversation.

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. При этом опыт работы на С++ и/или в геймдеве совсем необязателен: у нас отличная система адаптации для комфортного перехода новичков с Unity и из других индустрий. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: у нас гибкий график, и сотрудники могут работать из любой точки мира (кроме РФ и РБ). Для нас не важно, где и как вы выполняете свою работу — мы оцениваем только результаты. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

Senior AI Engineer The Essentials Location Remote UK, with expectation for attendance in the office for team meetings (approx. every two months) Employment Type Full-Time, Permanent The Opportunity Are you interested in making a difference by developing products used by the world’s largest Pharmaceutical Companies? Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in innovating for impact? If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with class-leading solutions. We are expanding and looking for an AI Engineer to join our team developing ground-breaking products using the latest AI and LLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference. Job Description We are seeking an AI Engineer with expertise in building scalable, production-grade systems and a passion for AI/LLM technologies and innovation. You will design, develop, and maintain our platform’s backend infrastructure, focusing on multi-tenant architectures, security, and efficient LLM integration. This role requires a strong understanding of Python web frameworks, cloud services (particularly AWS), and modern AI approaches including working with agentic architecture. Key Responsibilities Backend Development & Architecture - Design and implement scalable Python backend services, architect and maintain secure, high-performance, production multi-tenant systems, and develop RESTful and asynchronous APIs for internal and external use. LLM, Agents & AI Integration - Drive R&D innovation to meet client goals by building AI agentic workflows, advanced search, robust interaction and context management, and extending core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems and LLM components while implementing robust validation, transformation, and enrichment processes. Cloud & Infrastructure - Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches and maintain CI/CD pipelines for reliable deployment and testing Security & Compliance - Operate to the highest security standards as expected by ISO27001 Qualifications and Skills Required Skills and Experience Ø 5+ years of Python backend development experience (fewer years’ experience is acceptable for exceptional candidates) Ø Strong experience of using LLMs/AI in a production setting and use of the latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows Ø Strong understanding of software design principles and coding standards Preferred Skills and Capabilities Ø Familiarity with React or other frontend technologies for better cross-team collaboration Ø Experience implementing LLM integration frameworks Ø Background in pharmaceutical or healthcare domain Ø Familiarity of working to ISMS ISO27001 standards Ø Growth mindset combined with tenacity Ø Entrepreneurial approach driven by curiosity and innovation Ø Deep customer centricity What We Offer Ø Competitive salary and benefits Ø Opportunities for professional growth Ø Flexible work hours and remote work Ø Collaborative, inclusive work environment Ø Chance to work on cutting-edge AI technologies with real-world impact Selection process • Screening interview with HR, • Introductory interview with hiring manager/technical exercise, • Capability interview with CEO/team members Circuit Medical Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excels by being different, curious, innovative, working with ambiguity, being collaborative, communicative, all for the greater good and always delivering to a high quality. Circuit Medical welcomes everyone and creates inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • MLflow (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar), • Python-based ML workflows

My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis. Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices. Strong communications skills,

Contract : DevSecOps Engineer : 3 months (rolling) : £550 per day Inside IR35 : 90% Remote (occasional travel - North England) We’re partnered with a fast-growing data and AI consultancy supporting a high-profile AI Lab environment within a secure, enterprise setting. They’re looking for a DevSecOps Engineer to help scale and support a shared AI/LLM platform used across multiple projects, enabling teams to deploy, run, and operate production-grade LLM applications efficiently. You’ll be joining a central platform team owning the core infrastructure behind a rapidly expanding AI capability. What you’ll be doing: • Supporting and scaling a shared AI platform running multiple LLM-based projects, • Owning and maintaining Linux-based infrastructure and containerised services, • Operating and troubleshooting Dockerised services (PostgreSQL, Qdrant, vLLM, LLDAP), • Managing NGINX reverse proxies to securely expose internal tools and front ends, • Supporting and evolving GitLab CI/CD pipelines, • Deploying and managing infrastructure using Terraform, • Supporting open-source LLM deployments (Hugging Face models, vLLM, LangChain) Required skills: • Proven experience in DevOps / Platform / Infrastructure Engineering, • Strong Linux experience (VMs, shell scripting), • Hands-on Docker experience in production environments, • CI/CD experience, ideally GitLab, • Experience with NGINX or similar reverse proxies, • Infrastructure-as-Code experience (Terraform preferred), • Python experience supporting backend or platform services, • Experience supporting production systems used by multiple teams Security: • Must be ITAR compliant., • Ideally you already have SC but this can be sorted if necessary. On offer: • Day rate: £550.00 Inside IR35, • Duration: 3 months (rolling), • Working Style: Remote/Hybrid - Needs be visits - North England Please note: Due to the high volume of applications, unfortunately, we may not be able to provide feedback to all applicants. Contract : DevSecOps Engineer : 3 months (rolling) : £550.00 per day Inside IR35 : 90% Remote (occasional travel - North England)

Python Scraping Engineer Location: Fully remote Salary: £40,000 – £60,000 The Opportunity I'm looking for a Python Scraping Engineer to join a growing AI-focused data team. What You’ll Do • Design, build, and maintain large-scale production web scrapers, • Tackle advanced anti-bot and detection systems, • Work with browser automation and dynamic, JavaScript-heavy sites, • Improve scraper reliability, throughput, and data quality, • Strong Python-based scraping experience (production, large-scale), • Deep knowledge of:, • Anti-bot detection & evasion, • Browser fingerprinting, • CAPTCHA solving, • Proxy and IP management, • HTTP protocols and browser networking, • Hands-on experience with browser automation tools (e.g. Playwright, Selenium, Puppeteer), • CTO interview, • Meet the team

Senior Data Engineer | Remote (UK or Europe) A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing a mission-critical role in every aspect of the business. This is a high-impact, high-autonomy role in a lean engineering environment. You’ll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable. Key Responsibilities • Build and maintain low-latency distributed data pipelines, • Develop and run real-time time-series data collectors, • Automate monitoring and data quality checks, • Create tools and APIs for data access, • Collaborate with traders and developers on data needs, • Ensure 24/7 pipeline reliability What We’re Looking For • Strong Python and SQL, • Experience with trading/market data in production, • Proven work on real-time, high-volume pipelines, • Familiar with distributed SQL/NoSQL Bonus Skills • Clickhouse and S3/data lakes, • C++ on Linux, • Terraform or similar IaC, • Network protocols and exchange data What’s on Offer • Fully remote role (UK or Europe only), • Flat structure, strong engineering culture, • Competitive base + performance-linked bonus, • Flexible working hours, • Biannual off-sites to meet the global team in person

Senior Full Stack Engineer Remote (UK) | Full time London office available for optional in person collaboration We’re looking for an experienced Senior Full Stack Engineer to join a small, highly skilled team building a next generation Financial Services Regulatory Compliance platform. This is a hands on role where you’ll work across the stack, leading frontend development with React and Next.js while also contributing to a Python (FastAPI) backend that powers AI driven insights and data heavy systems. You’ll have real ownership, influence technical direction, and help shape a platform used to simplify complex regulatory information. What you’ll be doing • Leading the development of responsive, high performance frontend features using React and Next.js, • Working closely with product, design, and data teams to create intuitive user experiences, • Building and maintaining scalable APIs and backend services in Python using FastAPI, • Contributing to architectural decisions as the platform evolves and transitions from Azure to GCP, • Ensuring strong integration between frontend and backend with a focus on performance and maintainability, • Taking ownership of features from design through to deployment What we’re looking for • Strong experience building production ready applications with React and Next.js, • Confident TypeScript, with a focus on performance and modern React patterns, • Proven experience developing APIs or backend services with Python and FastAPI, • Comfortable working across the full stack and switching between frontend and backend problem solving, • Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS, • Experience working with data heavy or AI driven products is a bonus, • A proactive engineer who enjoys working in a small, fast moving team Tech stack • Frontend: React,TypeScript, • Backend: Python (FastAPI), • Database: MongoDB, • Caching & queueing: Redis, • Cloud: Azure (transitioning to GCP, AWS possible in future) What you’ll get • Flexible remote working with optional access to a London office, • The chance to work on a technically challenging, AI powered platform with real world impact, • A collaborative environment with low bureaucracy and genuine ownership over your work

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production? Have you worked with GenAI / LLMs and modern ML tooling in real systems? Are you interested in crypto, blockchain, and applying ML to complex on-chain data? A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You’ll join a small, senior AI/ML team working on core product features such as: • Large-scale wallet labelling and behavioural analysis, • NFT price estimation using ML, • Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform. Requirements • 4-7+ years of professional experience in Data Science / ML roles, • Strong data science foundations (EDA, feature engineering, model evaluation, validation), • Hands-on experience with ML models in production, • Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable), • Experience with GenAI / LLMs (commercial or serious hands-on experimentation), • Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch), • Clear interest in crypto / blockchain (commercial experience a plus, curiosity required) Responsibilities • Build, train, and improve ML models on large-scale blockchain datasets, • Take models from exploration to production, working closely with engineering, • Apply GenAI / LLM approaches where they add real product value, • Maintain high DS/ML standards across experimentation, monitoring, and iteration, • Contribute to best practices in a lean, senior AI team Key details • Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus, • Location: Fully remote (UK), • Stack: Python, GCP, ML frameworks, LLM APIs, • Visa: Cannot sponsor, • Team: Senior, small, highly technical If you’re a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership. Interested? Please apply below.

We have multiple clients across the UK currently looking for E&I / EC&I / C&I or Multi-Skilled Engineers that are Electrician Bias. You would need prior experience in an industrial setting. Some of the key locations are: Cambridge Suffolk Norwich Manchester However if you are open to relocation or actively looking for a similar role anywhere in the UK, do apply, we have a very big team with clients all over the country looking for strong EC&I professionals. Below is an example of the type of positions we have available. EC&I Technical Leadership • Serve as the site’s Subject Matter Expert (SME) for Electrical, Control, and Instrumentation matters, ensuring safe, reliable, and compliant operation of plant equipment., • Develop and maintain site EC&I standards (including ATEX, DSEAR, SIL, functional safety, etc.) in alignment with industry best practices and legal requirements. Project Management • Lead or support EC&I projects from concept through commissioning, ensuring on-time, on-budget delivery., • Coordinate with internal teams (Operations, Maintenance, HSE, etc.) and external contractors to define scopes of work, manage schedules, and track budgets., • Oversee design, installation, and commissioning of new EC&I systems, ensuring compliance with COMAH and other regulatory requirements. Maintenance & Reliability • Provide technical guidance to maintenance teams on preventive, predictive, and corrective maintenance of electrical and instrumentation assets., • Support day-to-day troubleshooting and fault-finding across a range of systems (e.g., PLCs, DCS, safety instrumented systems, field instrumentation)., • Drive reliability improvements through root cause analysis (RCA) and continuous improvement methodologies. COMAH & Regulatory Compliance • Collaborate closely with the HSE team to ensure EC&I operations and projects satisfy COMAH, ATEX, DSEAR, and other relevant regulations., • Maintain and develop safety instrumented systems (SIS), ensuring proper documentation, proof testing, and compliance with IEC 61508/61511., • Participate in COMAH-related activities, including audits, hazard studies (HAZOP/LOPA), safety reports, and regulator inspections. Standards & Documentation • Establish and maintain EC&I technical documentation (e.g., drawings, loop diagrams, schematics) and ensure compliance with site change control procedures., • Implement standards for the management of safety-critical systems, ensuring appropriate performance levels (e.g., SIL determinations) are met., • Support development of site procedures, work instructions, and best practices in line with company policies and legal obligations. Continuous Improvement • Identify and implement opportunities to enhance efficiency, reduce cost, and improve safety within EC&I disciplines., • Keep abreast of emerging technologies, standards, and best practices; recommend upgrades and innovations to maintain a competitive edge., • Promote a culture of continuous improvement, sharing knowledge, and mentoring other engineering team members. Contractor & Stakeholder Management • Manage EC&I contractors and vendors, including selection, contract negotiation, and oversight of quality control., • Liaise with external stakeholders (e.g., HSE, Environment Agency) and represent the site’s EC&I interests in audits or inspections., • Collaborate with internal stakeholders such as Operations, R&D, QA, and other engineering functions to align priorities and deliver effective solutions. Budget & Resource Management • Support the Engineering Manager in developing and managing budgets related to EC&I projects and maintenance activities, • Monitor spending against budget, ensuring cost-effective solutions without compromising safety or performance., • Proactively plan resource needs and schedule work to minimize downtime and disruption to production. Key Requirements: Education & Certifications • Bachelor’s degree in Electrical, Control & Instrumentation Engineering (or a related discipline)., • Chartered Engineer (CEng) status preferred or working towards it. Experience • 5–10 years of EC&I engineering experience within a high-hazard chemical, petrochemical, or similar industrial environment., • Proven track record in executing and commissioning EC&I projects, including cost control and contractor management., • Familiarity with COMAH regulations and major hazard site requirements. Technical Skills • Strong knowledge of process control systems (PLC, DCS), instrumentation calibration, loop checking, and functional safety (IEC 61508/61511)., • Understanding of electrical distribution systems (Low/High Voltage), BS7671 wiring regulations, and relevant directives., • Proficiency in computer-aided design (CAD) software and maintenance systems (e.g., CMMS/Agility). Open to candidates willing to relocate within the UK Visa Sponsorship unfortunately not possible to non-EU nationals

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities • Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java)., • Build and optimise AI/ML pipelines leveraging LLMs and RAG architectures., • Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments., • Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products., • Ensure high performance, testability, and reliability across the stack. Key Qualifications • Strong proficiency in Java and React/TypeScript, • Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.)., • Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning., • Experience with ML model serving, SDK development, and working in production-grade environments., • Ability to work across the full stack and thrive in a fast-paced, collaborative environment., • Product-focused engineer What We Offer: • The chance to work with cutting-edge hardware technologies in a high-growth environment., • A collaborative team culture that values innovation and technical excellence., • Competitive salary and benefits package.

Code Wizards Group is a world leader in backend and multiplayer infrastructure for the gaming industry. From high-scale AAA console and PC games to fast-paced mobile indie titles, we empower studios to bring multiplayer experiences to life. Within the Group lie Multiplayer Wizards, whose sole responsibility is to help game studios to run and operate their game infrastructure seamlessly for the players. We're on the search for some Contract DevOps Engineering talent to join the team working on some specific game migration work. Are you a highly productive DevOps Engineer, looking to use your wealth of games industry knowledge and your technical DevOps skills to help keep games online and running, whatever challenges are thrown at you? In this role, you will use your skills to help educate others in the team and act as an escalation point for head-scratching problems. Incidents are no problem, and you are happy to pick up and run with an outage, working with internal teams and the customer to keep the game infrastructure online. DUTIES AND RESPONSIBILITIES • Diagnosing and performing root cause analysis on customer infrastructure, including in incident scenarios, • Proactively identify and raise methods of improving team efficiency and procedures to improve support to the customer, • Assisting with escalated issues and navigating scenarios across multiple teams, • Writing clean, scalable, and performant scripts & code, • Forming part of a regular on-call rotation supporting our customers and internal teams SKILLS AND EXPERIENCE • Experience working in the gaming industry having migrated a live service game in production., • Knowledge of backend systems for online games and ideally exposure to game engines, Unity, Unreal etc., • An excitement to expand your knowledge on unfamiliar infrastructure and tools, • Automation knowledge on a wide variety of tools – Ansible, Terraform, Grafana, and Kubernetes, etc., • Prior experience migrating a game from one Cloud provider onto AWS, • Excellent knowledge of containers, virtual machines and Linux server administration, • Demonstrable experience in programming or personal code-based projects. Please note, initially, we will be looking at people with knowledge of the Games Industry.

Cloud Engineer Location: Remote (UK) Contract: 12 months IR35: Outside IR35 The Role We’re looking for a Cloud Engineer to join a small platform team supporting the modernisation of on-prem infrastructure into AWS. You’ll work closely with a senior engineer on day-to-day cloud and infrastructure tasks, helping to support, migrate, and operate hybrid environments. This is a hands-on delivery role, suited to engineers who enjoy working across VMware, AWS, and Kubernetes in real production environments. What You’ll Be Doing • Supporting hybrid cloud environments across on-prem and AWS, • Assisting with VMware to AWS migration activities, • Supporting and operating Kubernetes clusters and containerised workloads, • Working with Infrastructure as Code to provision and manage environments, • Troubleshooting issues across cloud, virtual machines, and Linux/Windows systems, • Collaborating with platform, DevOps, and application teams Experience We’re Looking For • Hands-on experience with VMware (vSphere / ESXi), • Experience working with AWS in production environments, • Exposure to VMware to AWS migrations (preferred), • Working knowledge of Kubernetes (EKS or similar), • Experience with Linux and Windows systems, • Familiarity with Infrastructure as Code tools such as Terraform, Ansible, or Helm If you're interested, please drop me a message and we will arrange a call!

Senior Software Engineer - .Net, Azure. - Contract £700 - 750pd UK, Remote | Contract Inside IR35 Only | 6 months January start. Curated is partnering with a global SaaS scale-up undergoing a significant platform modernisation and growth phase. The business is scaling multiple engineering teams and is looking to bring in highly experienced contract Software Engineers to support complex, high-impact delivery. This role is suited to senior engineers who enjoy working on large, evolving platforms, modern cloud infrastructure, and solving non-trivial technical problems in fast-moving environments. The Role You will join a cross-functional product engineering team working on the evolution and modernisation of a core SaaS platform. The focus is on building scalable, cloud-native services while improving reliability, performance, and long-term maintainability. This is a hands-on role requiring strong engineering judgement, the ability to work through existing systems pragmatically, and the confidence to contribute to architectural and technical decisions. What You’ll Be Doing • Designing and building backend services using modern .NET, • Developing and scaling cloud-native solutions on Microsoft Azure, • Working with large, data-heavy systems using SQL, • Improving and refactoring existing systems to support future platform growth, • Writing high-quality, well-tested, production-ready code, • Collaborating closely with Product and Engineering peers on delivery and prioritisation, • Supporting a platform used at scale, with a strong focus on performance and reliability What We’re Looking For • 7+ years of professional software engineering experience, • Strong, hands-on experience with the modern .NET stack, • Proven experience building and operating systems on Microsoft Azure, • Solid experience working with SQL in large-scale production environments, • Experience working on complex, long-lived systems rather than greenfield only, • Strong problem-solving and analytical skills, • Pragmatic mindset with a focus on delivering value, not over-engineering, • Comfortable working in Agile, product-led teams, • Strong communication skills, able to explain technical decisions and trade-offs clearly

Senior Rust Engineer UK, fully remote (Must be based in the UK now) Sadly no sponsorship possible Up to £95K Skills: Rust | Backend Systems | gRPC | Postgres | Integrations I’m partnering with an early-stage, product-led startup building a platform for transport operations - frankly, one of the most complex, real-time environments in the world. The team are already profit making with runway for the next 2 years (if they brought no further clients on). Please note, some travel across Europe/USA may be required. Core skills we look for: • Rust (2+ years commercial experience), • gRPC, • PostgreSQL or SQL, • Professional experience in developing integrations with third-party systems, • CI/CD, Docker, GitHub Actions Why this role? • High-ownership role with real production impact, • Technically challenging domain (real-time systems, integrations, complex data models), • Early-stage environment with influence over architecture and product direction What you’ll be doing: • Build and maintain Rust-based backend services using gRPC and Postgres, • Design and own integrations with external client systems, • Lead technical conversations with product teams and customers to gather requirements, shape solutions and deliver new features, • Design data models, • Contribute to frontend development in React/Android when needed Helpful skills if you had them: • Streaming or unary gRPC, • Apache Arrow / Parquet, • Observability tooling (Prometheus, Grafana, CloudWatch) If you're interested in this kind of challenge apply now - let's chat!

Senior Backend Engineer | Fully Remote UK | £70,000-£75,000 | Python | Django | AWS Location: Fully Remote - Candidates MUST be UK based Salary: £70,000-£75,000 + benefits Tech Stack: • Backend: Python (Django), • Frontend: React, • Cloud Systems: AWS, Docker Are you a Senior Backend Engineer who enjoys taking ownership of real production systems and shaping how a platform evolves as it scales? We are working with a specialist technology company building an impactful platform focused on quality, credibility, and long term sustainability. The product is live, revenue generating, and growing steadily, with a clear roadmap for scale and international expansion. This is not an idea stage business and the engineering decisions made now genuinely matter. Responsibilities: • Take ownership of the backend platform, covering reliability, scalability, and feature delivery, • Audit and deeply understand an existing Django based system before driving improvements, • Design and build new backend features that support growth and product evolution, • Own technical decisions around architecture, performance, and maintainability, • Work closely with a small senior team to shape the future direction of the platform Requirements for Success: • Strong experience building and maintaining backend systems in Python, • Solid understanding of Django and REST based architectures in production, • Experience working with asynchronous systems such as Celery and message queues, • Comfort operating in cloud environments, ideally AWS, • Strong problem solving skills and the ability to take ownership in a startup setting Our client is looking for someone who is comfortable operating with autonomy, can think critically about system design, and enjoys improving and scaling platforms rather than maintaining legacy code. Clear communication and sound technical judgement matter more than titles or years served. The successful candidate will have a proven track record in backend engineering and will be confident owning systems end to end. This is an opportunity to be hands on technically now, with scope to influence hiring and leadership direction as the team grows. Benefits: • Fully remote working with a high trust environment, • Flexible hours focused on outcomes rather than time spent, • Equity or options available, • Small, collaborative team with no unnecessary red tape, • Opportunity to build a meaningful product with long term impact Interested and ready to take your engineering career to the next stage? Get in touch at or call 07378 549703 for a confidential chat. Senior Backend Engineer | Fully Remote UK | £70,000-£75,000 | Python | Django | AWS

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Role: Group Performance Engineer – Energy Package: £80,000 - £90,000 Location: UK Middlemore has been exclusively retained, to recruit for a senior performance engineering opportunity for an experienced power/thermal specialist to take ownership of boiler and turbine performance across a modern UK Energy from Waste fleet. This is a high-impact, data-driven role focused on measurable efficiency gains, working at group level rather than tied to a single plant. Role overview • Asset Management – performance owner for operational EfW assets, reporting into Group Asset Management leadership., • Group remit across multiple plants, leading asset performance, reliability and efficiency to deliver best-in-class asset performance and margin improvement. What you will be doing • Act as performance owner for boilers and turbines, materially influencing thermal efficiency, turbine efficiency and overall plant output across the EfW portfolio., • Lead the definition, monitoring and interpretation of asset KPIs, providing periodic performance and diagnostic reporting on critical plant assets., • Optimise combustion/boiler and turbine cycle performance, including fuel calorific value, thermodynamic performance and the knock-on impact of plant changes across the whole process., • Use and challenge thermodynamic, CFD and airflow models; verify outputs with independent calculations and plant data from DCS/SCADA and PI or similar historians, acting as custodian of data quality and reliability., • Lead or support performance tests, reconcile performance mismatches and translate plant performance into financial impact (margin and EBIT), educating operations teams on the “price of non‑conformance”., • Provide day-to-day performance engineering expertise to Operations, Maintenance and Engineering teams, and oversee an Assistant Performance Engineer who is more plant‑based., • Proactively identify and deliver improvement projects to increase efficiency, availability, reliability and safety, including feasibility studies, conceptual and detailed designs. In the first 12–18 months • Deliver targeted efficiency uplifts on boilers and turbines across multiple sites., • Optimise waste throughput within technical and environmental limits, improving overall plant output., • Reduce performance losses that impact margin and EBIT, embedding changes and new ways of working with site teams. What we are looking for • Degree-qualified engineer in Engineering, Physics, Mathematics or similar, ideally Chemical/Process or Power., • Strong track record in power/thermal plant performance (EfW, CCGT, biomass, coal, CHP or similar), with a deep grounding in thermodynamics, boiler operation, calorific value and turbine control logic., • High technical capability and comfort with performance modelling, data analysis and performance monitoring software, including advanced Excel and tools such as Power BI, SQL, Access or similar., • Experience working with plant efficiency data, energy production and performance monitoring software, including historians (e.g. PI) and DCS/SCADA data., • Strong interpersonal and stakeholder skills: able to command a room, influence operators and senior stakeholders and embed change through communication and gravitas rather than “pressing the buttons” yourself., • Proven leadership with the ability to guide an Assistant Performance Engineer, manage cross-functional work and contribute to budgets and commercial outcomes., • Minimum 3–5 years in a similar performance or process engineering role, ideally within the energy sector. Working pattern and environment • Hybrid role combining desk-based performance analysis with regular site presence for performance tests, investigations and support to site teams., • National travel to multiple UK sites as required for performance, commissioning and critical issue resolution., • Predominantly office/control-room and plant environment, with exposure to typical industrial conditions when on site. How to apply If you are a technically strong performance engineer who enjoys complex thermodynamic problem‑solving, data-driven decision-making and influencing operators and senior stakeholders, please get in touch for a confidential conversation and full brief.

Fabric Engineer - Fully Remote (UK) - Outside IR35 UK Security Clearance is essential. A leading consultancy is looking to engage an accomplished Senior Consultant for a high‑impact data and analytics programme. This role suits a seasoned specialist in data engineering, Microsoft Fabric, and solution delivery, with the ability to design, build and refine technical solutions that elevate existing data products. The successful consultant will play a key role as a subject matter expert, collaborating closely with senior project stakeholders and contributing to the delivery of a robust, scalable data platform. Role Overview This position focuses on architecting and engineering data solutions within a Microsoft Fabric environment. The consultant will be responsible for transforming ingested data, documenting business logic, and building insightful Power BI dashboards for management reporting. Key Responsibilities • Design and implement technical solutions within the agreed Microsoft Fabric scope., • Develop and enhance transformations for all ingested data sources., • Document data logic, workflows, and transformation steps clearly and comprehensively., • Build Power BI dashboards that surface meaningful insights for leadership teams., • Offer specialist expertise in engineering and solution delivery. Essential Skills & Experience • Proven experience delivering data engineering solutions at senior or consultant level., • Strong hands‑on knowledge of Microsoft Fabric components:, • Notebooks, Delta tables, Fabric SQL, • Lakehouse / OneLake concepts, • Deep experience writing PySpark in Fabric notebooks, including:, • Reading/writing Delta, schema evolution, partitioning, optimisation, • Solid understanding and implementation experience of SCD2 and other slowly changing dimension techniques., • Proficiency in building production‑ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches., • Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice., • Strong problem‑solving ability, documentation skills, and clear stakeholder communication. Nice-to-Have • Experience working with IVU (transport scheduling) or iTrent (HR/Payroll) data., • Familiarity with the wider Azure ecosystem: ADLS/Blob, Azure SQL DB, Managed Identity, Key Vault., • Exposure to observability tooling, metric/logging strategies, or Terraform for automated infrastructure provisioning., • Experience converting exploratory notebooks into production-grade jobs. Interested? If you’re a confident and capable consultant who thrives in a technical, data‑driven environment, this is an excellent opportunity to contribute to a meaningful project with a forward‑thinking consultancy. Apply now online.

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

Mechanical Engineer Norwich or Nottingham (Hybrid) £42 per hour outside IR35 (45 hours per week) 6 month initial contract Are you an experienced Mechanical Engineer who is looking for their next contract in January? If so please read on: Essential skillset: • At least 5 years experience as a Mechanical Engineer with a strong understanding of industry standards, engineering calculations, documentation and design, • Understanding and experience of various documentation including BOMs, P&IDs, IOMs and Functional Design specifications, • Experience supporting project delivery through schedule, budget, scope, and risk management activities, • Experience designing mechanical solutions for fire suppression and production systems including CAFS, inert gas systems, HPUs, and chemical injection packages If this sounds like a good fit for you, please get in touch with Daisy Black at JAM Recruitment ASAP.

Embedded Software Engineer/ Consultant As an Embedded Software Engineer, you will get to tackle diverse, real-world challenges. Typically, this will involve going through the whole product life cycle, you will capture requirements, design, develop, document, test, and deliver through to production. My client variety of projects, from proof-of-concept through to working prototypes, provide both intellectual and practical challenges. Requirements: My client is looking for any candidate from a research heavy PhD background or candidates with a strong academic background or 2+ years of experience within an Embedded Software role. Skills that would be helpful for you to be familiar with: • design and implementation of technological solutions, • Linux, and programming in C and at least one other language (such as C#, C++, MATLAB), • Bare metal/RTOS software development on ARM targets, • High level software architecture, • Embedded software debugging methods, • Electronics development and/or hands-on debugging, • Scripting for test or signal processing (for example in MATLAB, Python) My client is looking for driven candidates who are highly motivated to be in a customer facing role while remaining technical. Details: • Candidates must be sole British and happy to go through the relevant security clearances., • Onsite role, based just south of Cambridge., • Salary DOE., • Private medical insurance for you and your family., • Life insurance X6 salary. If this role is of interest then please apply or send your CV to

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You’ll Be Doing • Lead the development and deployment of machine learning models used in a live SaaS product, • Own models end-to-end from experimentation through production deployment, monitoring, and iteration, • Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows, • Improve the scalability, reliability, and performance of existing ML systems, • Review code and architecture, setting a high engineering standard, • Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They’re Looking For • Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment, • Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries, • Experience deploying and maintaining ML models in production, • Solid software engineering fundamentals (algorithms, data structures, clean code), • Comfortable working with Docker and containerised systems, • Experience collaborating cross-functionally and owning delivery, not just models, • A mindset focused on impact, curiosity, and continuous improvement

AI, Data & Defence Engineering and Data Science Roles Engineer to Managing Consultant, Defence, & Critical Infrastructure Nationwide Clearance, SC required, DV preferred, some roles sole UK nationals We’re supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics across Defence, and critical government programmes. The work is production-grade, building systems that support real Defence capability. We’re hiring across Engineer, Senior Engineer, Consultant, Senior Consultant, and Managing Consultant levels. All roles remain hands-on, with leadership scope depending on experience. What you’ll do • Build and deploy secure data pipelines, platforms, and AI/ML solutions, • Productionise analytics and ML, including GenAI and agentic patterns where relevant, • Translate Defence requirements into robust technical designs with stakeholders, • Support MOD capability and acquisition work aligned to CADMID, • Implement secure architectures with cloud, platform, and security teams, • Apply DevOps and MLOps, CI/CD, monitoring, auditability, and governance, • Contribute to design reviews, estimates, documentation, and bid inputs What you’ll bring • Strong experience in data engineering, analytics engineering, or applied data science, • Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks, • Python, ideally PySpark, R helpful but not essential, • End-to-end pipelines, feature engineering, and production ML workflows, • Familiarity with LLMs, GenAI, or agent-based systems, • Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector, • Understanding of requirements artefacts such as URDs, SRDs, ITEAPs, RAMS, • Stakeholder skills, plus workstream or team leadership for senior levels Security clearance • SC required, • DV preferred and may be required for certain assignments

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨