Production engineer jobs in LeedsCrear alertas

Our client is a leading FMCG / Manufacturing company known throughout the UK, offering consumers some of the best products.Job Role & Key Responsibilities:.As an Multi Skilled Maintenance Engineer, you will play a key role in maintaining and optimising our production facilities to ensure smooth

Location (if Hybrid / Office Based):.This role encompasses providing IT system administration services for hardware, operating systems, and related systems software for relevant infrastructure across YBS.Awareness of financial services industry, markets and competitors.

A global, product-led technology company is hiring a Software Engineer to join its UK-based engineering team. The organisation builds and operates large-scale, consumer-facing platforms used at significant scale. Their systems combine cloud-native services, distributed architectures, and edge-based software, running in highly available, production-critical environments. The Role You’ll join a UK engineering function responsible for building and evolving a complex, real-world platform. The team delivers new features, maintains live services, and continuously improves performance, reliability, and observability across a distributed system. The role covers a broad technical surface area, including: • Cloud-based services written primarily in Python, • Distributed and edge-based components developed in Golang (experience beneficial but not required), • Large-scale systems running in a modern public cloud environment You’ll take ownership of services from design and implementation through to deployment, monitoring, and ongoing optimisation, working closely with other engineering teams in a collaborative, product-focused environment. Technology Environment • Languages: Python, Golang, • Cloud: Google Cloud Platform (or equivalent experience), • CI/CD: GitHub Actions, • APIs: GraphQL, • Infrastructure: Terraform What They’re Looking For They’re open-minded on background and value engineers who bring a strong core skillset alongside curiosity and a willingness to learn. • Strong experience writing production-grade Python, • Experience working with cloud platforms (GCP, AWS, or Azure), • Interest in distributed systems and scalable architectures, • Exposure to Golang, or motivation to learn it on the job, • Comfort operating in high-availability, production environments, • A collaborative mindset and clear communication skills What’s On Offer • Competitive salary and benefits package, • Flexible working arrangements, • Dedicated learning and development budget, • Regular learning days and technical knowledge-sharing, • Optional international engineering events, • Supportive culture that values ownership, quality, and continuous improvement Why This Role? This is an opportunity to work on technically complex systems at genuine scale, where engineers are trusted to own what they build. You’ll join a mature, product-focused engineering team tackling real-world challenges across cloud infrastructure, distributed systems, and performance-critical software.

Role: Robotics Algorithms Engineer About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is one of the fastest growing start-ups in Europe, with plans to more than double, again, in size over the next six months. Backed by international investors from the US, Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are seeking a Robotics Algorithms Engineer (Perception, Sensor Fusion & Autonomy) to design, develop, and help validate the algorithms that power our next generation of autonomous robotic systems. This is a hands-on, applied engineering role focused on real-world robotics – developing and deploying perception, sensor fusion, and autonomy algorithms on operational robotic platforms. You’ll work across the full development lifecycle, from early prototyping through to robust implementation, field testing, and iteration in challenging outdoor environments. You will collaborate closely with software engineers, mechatronics engineers, and embedded engineers to deliver algorithms that are measurable, testable, and deployable on real hardware – balancing performance, compute constraints, and robustness. Key Responsibilities You will contribute to the development of core autonomy systems, including: • Design and develop prototype and production-ready perception pipelines, including detection, segmentation, tracking, registration, and scene understanding., • Work with a wide range of sensors and modalities, such as: RGB cameras; thermal cameras; LiDAR; depth cameras; IMUs; GNSS; RTK; environmental sensors; pressure sensors, ensuring robust operation across varying environments and signal quality., • Develop inspection and QA capabilities to validate coating application results, including coverage estimation, defect detection, and quantitative metrics for field verification and reporting., • Develop 3D perception and reconstruction algorithms, including (but not restricted to) Structure-from-Motion (SfM), multi-view reconstruction/visualisation, depth fusion, and dense/sparse mapping pipelines., • Design and implement motion/pose estimation and tracking techniques (e.g. Visual Inertial Odometry), supporting accurate localisation under challenging real-world conditions., • Design and prototype autonomous behaviours and control systems that use fused state estimates, perception outputs, and environmental models to operate reliably in real-world conditions., • Perform algorithm design and analysis to balance trade-offs between accuracy, latency, and reliability., • Collaborate with software engineers to integrate algorithms into production systems (C++/Python services, edge inference pipelines, robotics middleware)., • Communicate clearly through short technical write-ups, design notes, sprint demos, and experiment logs., • Contribute to engineering best practice (clean code, Git workflows, reproducible testing, documentation). Required Skills & Experience • Strong proficiency in Python and/or C++ for algorithm developing and interfacing with sensing hardware., • Experience using Linux as a development environment., • Solid foundations in core perception concepts, including:, • segmentation, classification, registration, object detection, tracking, pattern recognition, • Hands-on experience implementing Kalman filtering (or related state estimation techniques) and applying them to real sensor data., • Experience in working with visual sensors (RGB cameras; depth cameras; LiDAR)., • Experience designing and implementing sensor fusion systems involving multiple modalities., • Experience designing and implementing autonomous robotic control systems., • Ability to work in conjunction with systems programmers across the full development and test lifecycle (prototype → integration → validation). Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out.

About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is a fast-growing company with plans to more than double in size over the next six months. Backed by international investors from the US, mainland Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are looking for an Embedded Systems Engineer to join our engineering team and own the firmware development that enables the operation of various robotic control and instrumentation modules. You will be responsible for designing and implementing microcontroller firmware, sensor drivers, and control logic to interface with a wide range of hardware including motors, pumps, actuators, RC modules, and an onboard Linux computer. This is a hands-on role working close to the hardware. You will develop reliable, maintainable firmware for systems operating in harsh outdoor environments, collaborating closely with electronics, mechatronics, and systems engineers to deliver robust robotic solutions for power lines inspection and capacity expansion. Key Responsibilities • Design, develop, and maintain embedded firmware for microcontroller-based systems used in AssetCool power line robots., • Develop sensor drivers and hardware abstraction layers for analogue and digital sensors., • Implement real-time control logic for motors, pumps, valves, actuators., • Interface with and integrate communication buses including CAN, SPI, I2C, UART/Serial, USB, Ethernet, and wireless links., • Support board bring-up, hardware–firmware integration, and low-level debugging of new electronics., • Collaborate with electronics engineers on design, interfaces, operating requirements and constraints, and hardware validation., • Develop diagnostics, logging, and fault-handling mechanisms suitable for field deployment., • Contribute to safety-related firmware behaviour, including fault detection, fail safe, and recovery strategies., • Develop unit tests, integration tests, and production test firmware., • Support system-level integration and testing of robotic platforms in lab and field environments., • Analyse logs, telemetry, and field data to diagnose issues and improve firmware robustness., • Maintain clear technical documentation for firmware architecture, interfaces, and behaviour. Required Skills & Experience • BSc or MSc in Embedded Systems, Computer Engineering, Electronics Engineering, Mechatronics, or a related discipline., • 3+ years of professional experience developing embedded firmware for microcontroller-based systems., • Strong proficiency in C/C++ for embedded systems., • Hands-on experience with mainstream embedded platforms including Arduino, STM32, ARM Cortex-M, SAMD21, and ESP32., • Experience implementing and debugging communication protocols such as CAN, SPI, I2C, UART/Serial, and USB., • Familiarity with real-time constraints, interrupts, timers, and low-level peripheral configuration., • Experience with motor and pump closed-loop control systems., • Experience debugging embedded systems using oscilloscopes, logic analysers, and debuggers., • Familiarity with bootloaders, firmware update mechanisms, and device provisioning., • Ability to work hands-on with hardware in a lab and field-testing environment., • Experience with version control systems (Git) and collaborative development workflows. Preferred Skills & Experience • Familiarity with CAN-based higher-layer protocols (e.g. CANopen, DroneCAN)., • Experience working with RTOS-based systems (FreeRTOS or similar)., • Experience developing firmware for battery-powered or low-power systems., • Experience developing embedded systems for outdoor, industrial, or robotic applications., • Understanding of safety-related firmware design and fault handling strategies., • Experience with data streams over wireless interfaces such as Wi-Fi and Bluetooth., • Public Github repository showing contributions to personal or public open-source projects. Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

Our international client is now searching for a MOSFET Product Engineer to be responsible for the new product introduction, characterisation and qualification of Power MOSFET products. The role will involve managing New Product Introductions from first silicon to production release as well as manage product qualifications to a tight schedule. Interfacing with production teams in the UK will be required and working with R&D teams in Taiwan. Required skills for the MOSFET Product Engineer will include: • Power semiconductor device and product knowledge, • Knowledge or experience of Wafer Test and Reliability testing, • Wafer fabrication process experience, • Strong communication skills

Elevation Recruitment Group are recruiting for an Electrical Maintenance Engineer to join one of our Manufacturing clients in Leeds. Electrical Maintenance Engineer – Manufacturing Leeds | £42,753 | Morning & Afters (rotating 6:00am - 2:00pm and 2:00pm – 10:00pm) Benefits: • 25 days holiday, • Pension, • Holiday purchase scheme, • HAPI Benefits, • High Street Discounts, • Onsite Physio Responsibilities: • Carry out planned preventative maintenance (PPM) and reactive breakdowns across a wide range of production related equipment., • Provide general Maintenance support, • Responsible for repairs of all equipment when required., • Troubleshoot and fault find on electrical systems (including PLCs where possible), • Ensure compliance to all aspects of the company health and safety policy, • Continually monitor plant conditions and report defects., • Ensure that all statutory and regulatory checks are carried on schedules in place for all production equipment., • Support continuous improvement projects and engineering developments on site What We’re Looking For: • NVQ/ONC Level 3 (or equivalent) in Electrical Maintenance, • Proven experience in an Electrical Maintenance Engineer role within manufacturing/automated environments, • Strong background in PPMs and breakdown response, • Experience of fault finding on PLCs (desirable) Suited candidates previously hold roles such as: Electrical Maintenance Engineer, Maintenance Engineer, Maintenance Technician, Electrical Engineer, Automation Engineer, Multi-skilled Maintenance Engineer, Maintenance Electrician, Robotics Engineer Apply now or to discuss this Electrical Maintenance Engineer role, please contact Eleanor Crummey.

Build electronics that genuinely improve people’s lives in Leeds. This Electronic Design Engineer role sits within a small, senior engineering team developing upper-limb robotic prosthetics used globally. You’ll own electronics design end-to-end, influence how products reach manufacture, and work hands-on with complex electro-mechanical systems. Salary £60,000 to £65,000 plus strong benefits. Scope of the Role As an Electronic Design Engineer, you'll be responsible for owning electronics design within highly integrated electromechanical products, taking concepts through to technical file transfer. • Lead schematic design, PCB layout oversight, debugging and hands-on board bring-up, • Own electronics design data, revision control and change processes, • Collaborate on electromechanical design with mechanical and software engineers, • Drive electronics design for manufacture, assembly, test and production transfer, • Support risk management activities within regulated electro-mechanical systems Key Skills and Experience Required • Proven experience as an Electronic Design Engineer delivering products into manufacture, • Professional schematic capture and PCB design for shipped electro-mechanical systems, • Hands-on debugging, fault-finding and modification of electronic assemblies, • Experience working in regulated environments with documentation and change control, • Strong collaboration skills with Mechatronics Engineer, mechanical and software peers Salary and Benefits • £60,000 to £65,000 basic salary, • Hybrid working with a minimum of two days per week on-site in Leeds, • Increased on-site time during build, test and verification phases, • Pension contribution and standard benefits package, • Opportunity to reduce reliance on external consultancies and build in-house capability You’ll be joining a close-knit engineering group that values clear thinking, practical decision-making and shared ownership. The culture suits engineers who enjoy seeing their designs reach production, explaining trade-offs clearly, and working across electromechanical design, robotics and real-world manufacturing constraints. As an Electronic Design Engineer, you’ll work on meaningful products, not endless prototypes, alongside people who care about doing things properly. How to Apply Want to find out more? Click the apply button and we’ll be in touch.

A global, product-led technology company is hiring a Automation Tester to join its UK-based engineering team. The organisation builds and operates large-scale, consumer-facing platforms used at significant scale. Their systems combine cloud-native services, distributed architectures, and edge-based software, running in highly available, production-critical environments. As an Automation Test Engineer, you’ll play a key role in ensuring the quality and reliability of a complex software platform. You’ll work closely with software engineers, product teams, and other QA professionals to design, build, and maintain automated test solutions across multiple layers of the system. What You’ll Be Working On • Designing and maintaining automated test frameworks, primarily using Python, • Writing automated tests across APIs, services, and backend systems, • Contributing to integration, system, and end-to-end testing strategies, • Validating complex workflows across distributed and cloud-based systems, • Supporting testing of performance, reliability, and failure scenarios, • Collaborating with engineers to improve testability and overall system quality, • Integrating automated tests into CI/CD pipelines to support fast, safe releases Technology Environment • Languages: Python (primary), • Testing: API, integration, and end-to-end automation, • CI/CD: GitHub Actions or similar, • APIs: REST / GraphQL, • Infrastructure: Containerised and cloud-native systems They’re open to different backgrounds and levels of experience, but ideal candidates will bring a combination of: • Strong experience building and maintaining automated test suites, • Solid Python skills for test automation and tooling, • Experience testing APIs and backend services, • Understanding of testing within distributed or cloud-based systems, • Familiarity with CI/CD pipelines and automated quality gates, • A quality-first mindset with the confidence to challenge assumptions, • Strong communication skills and a collaborative approach to working with engineers What’s On Offer • Competitive salary and benefits package, • Flexible working arrangements, • Dedicated learning and development budget, • Regular learning days and opportunities to upskill, • Exposure to large-scale, real-world systems, • Supportive, engineering-led culture that values quality and ownership Why This Role? This is a great opportunity to join a product-focused engineering team where test automation is taken seriously. You’ll help shape how quality is built into complex systems from day one, working on software that runs at scale and solving real technical challenges alongside experienced engineers.

Electrical Engineer / Maintenance Engineer / Control Systems Engineer required to join a global manufacturer of industrial materials and components at their Leeds production facility. The successful Electrical Engineer will be responsible for supporting plant maintenance, diagnostics, and improvemen

Power Electronics Engineer – Role & Responsibilities – Power / Electronics / Hardware Design and develop power electronics systems from concept to production Work on DC/DC, AC/DC converters, inverters and motor control applications Develop high-voltage and high-current power conversion

Working alongside external sales engineers, production and engineering teams, youll provide timely, accurate and commercially aware support that ensures excellent customer experience. Internal Technical Sales Support Engineer. Assist external sales engineers by resolving customer issues and supplyin

F680; Position: Technical Sales Engineer Convert customer enquiries into confirmed machining work (sub contract) Prepare accurate, competitive quotes Build and maintain long-term customer relationships Collaborate with our production team to ensure great results Track your quotes, wins, and pipeli

Headley have a vacancy for an experienced Production Engineer with an established engineering business near Leeds. Duties of the role to include: * Creating manufacturing programs using CAM software * Component modelling where required * Planning and scheduling of jobs, creating job routing

As a Shift Engineer, youll provide essential maintenance and breakdown support across a 24/7 production site. This role sits within our Engineering team at Stourton Dairy and follows a. Youll be part of a highly skilled engineering team, working on cutting-edge equipment and supporting projects that

As the Installation and Commissioning Engineer, you will be responsible for:. Installing and commissioning automated food production machinery at customer sites worldwide. Installation and Commissioning Engineer (Contract).

We're looking for a Multi-Skilled Maintenance Engineer to deliver both reactive and planned maintenance across a wide range of production machinery.This is a full-time, permanent role offering flexible hours and the chance to lead electrical projects and continuous improvement initiatives.Client

Provide 2nd and 3rd line support services on a 24 x 365 basis for elements of the associated technology stack across all development, testing and business critical production environments, including on call.

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

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: .

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.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

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)

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

Developer Advocate Location: London About the Role We’re looking for a Developer Advocate / Developer Content Engineer who can show developers what’s possible with Artemis. Someone who can build examples, explain real workflows, and create content that resonates because it reflects how developers actually work. Your job is to help developers understand how our offerings fit into their everyday flow and why it makes their work better — in your own technical, authentic voice. You’ll collaborate closely with Engineering and Product, experiment with new capabilities, create demos and walkthroughs, and engage publicly across developer communities If you’re a builder who loves teaching other developers through content, video, examples, and honest technical conversation, we’d love to hear from you. Key Responsibilities • Build engaging, production-ready demos that showcase real-world developer workflows and product capabilities., • Produce multi-format content — technical blog posts, tutorials, videos, and social media snippets — that resonates with technical audiences., • Record and edit videos (feature walkthroughs, screencasts, narrated demos) optimized for developer channels like YouTube, LinkedIn, and Twitter., • Collaborate with engineering to deeply understand features and ensure content is accurate and developer-ready., • Work with marketing to align content with launch timelines, messaging, and campaigns. Technical Skills & Experience We’re looking for someone who can combine developer credibility with content creation expertise: • Strong software development background, ideally in JavaScript/TypeScript and/or Python., • Proven experience using and extending Visual Studio Code (extensions, integrations, workflows)., • Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face)., • Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms)., • Understanding of developer ecosystems and how to engage technical audiences through content., • Video production skills — screen recording, editing, and publishing for professional-quality results. Portfolio Requirement Applicants should have a portfolio of previously created developer content that could include: • Recorded video demos or walkthroughs., • Technical blog posts or tutorials., • Public GitHub projects or repositories tied to content pieces., • Conference talks or webinars. (not required but great to have) Deliverables • 2–3 polished demos with write-ups and recordings., • 3–4 developer-focused blog posts or tutorials highlighting use cases, integrations, and tips., • 2–3 short launch videos (2–5 minutes each)., • Updates or additions to developer documentation for launch readiness.

We’re currently partnering with a UK-based client who’s looking to collaborate with an experienced Luminaire Design Engineer on an outside IR35 contract. This is a fully remote, home-working role offering genuine flexibility, making it ideal if you’re looking for autonomy alongside interesting technical work. 🔧 The role focuses on: • Design and development of luminaires, • SolidWorks modelling for manufacturing, • Supporting product development from concept through to production The position is paying a high rate and the client are happy to work around your schedule on a flexible basis. If you have hands-on experience designing luminaires in SolidWorks and enjoy practical, manufacture-focused engineering, this could be a great fit. Please send across an up to date CV and we can discuss.

Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale. This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development — from early builds through to large-scale testing and certification. The work has real-world impact, improving product quality for millions of end users globally. You’ll operate at Senior / Staff level, shaping technical direction, driving innovation, and contributing to both applied research and production-ready systems. Key Responsibilities • Designing, developing, and deploying novel machine learning models for anomaly and glitch detection, • Leading research workstreams and contributing to publications, patents, and internal knowledge sharing, • Working closely with cross-functional teams to productionise ML systems at scale, • Mentoring and guiding junior engineers and researchers, • Communicating complex technical concepts clearly to both technical and non-technical stakeholders, • Prototyping new ideas quickly to evaluate performance and feasibility Your work will focus on delivering high-impact ML solutions, including: • Anomaly detection applied to video, gameplay, and QA data, • Computer vision and video stream analysis, • Research-led ML systems transitioning into real-world production environments, • Scalable, high-performance ML pipelines What We’re Looking For • Strong academic background (Master’s or PhD preferred, or equivalent experience), • 5+ years’ experience delivering ML solutions from research through to deployment, • Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks, • Deep understanding of machine learning, data analysis, and statistical modelling, • Experience in anomaly detection, computer vision, or applied ML research, • A track record (or strong interest) in publishing, patents, or conference participation, • Strong communication skills and a collaborative mindset, • An interest in gaming or interactive technology is highly beneficial If this role looks of interest, please apply here!

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.

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

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.

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.

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

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.

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

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

Join OCI’s Edge Security team as a Principal Engineer to architect and deliver cloud-scale DDoS protection. You’ll lead design for high-performance detection and mitigation systems, drive automation and operational excellence, and set the technical direction for customer-facing DDoS capabilities across OCI’s global edge. This role requires deep expertise in Linux networking data path and kernel-level networking (such as XDP, eBPF, DPDK, iptables, nftables), in addition to strong systems and DevOps engineering experience. Basic qualifications • 7–10 years building production backend systems, including 3–5 years in high-scale and/or low-latency environments., • Deep expertise in Linux networking data path and kernel-level networking (e.g., XDP, eBPF, dpdk, iptables, nftables) for traffic processing, filtering, and observability., • Proficiency in one or more: Java/Python/C++/Rust/Go (strong preference for Java for control-plane/services)., • Deep systems design expertise: concurrency, memory management, performance tuning, API design, consistency models, and distributed systems fundamentals., • Proven DevOps leadership at scale: CI/CD, automated testing, canarying, rollout/rollback, configuration management., • Strong IaC experience (e.g., Terraform) and solid cloud infrastructure fundamentals., • Domain experience in DDoS or network security services and common attack/defense patterns., • Advanced networking knowledge: TCP/IP, IPv4/IPv6, BGP, routing policy; DNS fundamentals., • Demonstrated operational excellence and observability practices (metrics, tracing, alerting). Preferred qualifications • Expertise with anycast routing, global traffic steering, and multi-region service readiness., • Experience with SDN, programmable data planes, or hardware mitigation platforms., • Building high-rate telemetry/streaming pipelines for near-real-time detection (packet/flow analytics)., • Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale., • Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement)., • Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit preparation. How you’ll have impact • Deliver core DDoS detection/mitigation that protects OCI’s Tier 0 availability and customer trust., • Launch customer-facing DDoS offerings with self-service policy, visibility, and strong defaults., • Raise engineering quality, automation, and compliance maturity across the stack; mentor and grow the team’s technical bar. Ways of working • Security and privacy by design with auditable controls and policy adherence from day one., • Data-driven delivery with clear KPIs, SLOs, and stage gates from prototype to GA., • Collaborative, inclusive culture emphasizing design docs, code reviews, and knowledge sharing. What you’ll do • Lead architecture and delivery of low-latency backend services for DDoS detection, classification, and mitigation., • Define and evolve scalable data/control planes (policy, signaling, telemetry, orchestration) with strong fault isolation, resiliency, and compliance-by-design., • Own traffic engineering strategy (anycast, BGP policy, routing integration) and partner with networking, DNS, and edge platform teams., • Set operational standards: SLOs/SLAs, on-call health, incident response (including incident commander duties), runbooks, and post-incident learning., • Drive automation at scale: CI/CD strategy, test frameworks, progressive delivery (canary/blue-green), and infrastructure-as-code., • Establish robust observability (metrics, logs, traces) and capacity/scale models for high-throughput, highly available services., • Lead threat modeling, architecture reviews, and audit readiness for Tier 0 services; ensure security and privacy are embedded through the lifecycle., • Mentor engineers, influence cross-org roadmaps, and collaborate with Product, SRE, and Network Engineering from concept to GA.

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.

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.

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.

🚨 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🚨

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!

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.

Database Engineer (PostgreSQL & Python) - MUST BE BASED IN THE UK • Opportunity for a Database Engineer (Junior/Mid/Senior) to join a remote-first, UK-headquartered technology business, • Competitive salary between £45,000 - £70,000 + excellent benefits including remote working, autonomy, and the chance to work on an Educational AI platform WHO WE ARE: We are a remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central to the platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You’ll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: • Remote-first working model, • Autonomous, trusted working environment, • Collaborative and inclusive engineering culture, • Opportunity to work closely with AI and Data Science teams, • Clear ownership and technical influence, • Long-term, permanent role, • And more… WHAT WILL YOU BE DOING? As a Database Engineer, you’ll sit at the intersection of database administration and software engineering. You’ll be responsible for building and maintaining high-availability PostgreSQL environments, ensuring performance, security, backups, replication, and recovery are robust and reliable. Alongside this, you’ll write production-quality Python to automate database operations, build bespoke tooling, and support the evolution of the wider data platform. You’ll contribute to database migrations and scaling initiatives, enable clean data access across services via APIs, and document standards and processes to support a distributed development team. This is a hands-on role with a strong focus on long-term platform health rather than short-term fixes. DATABASE ENGINEER – ESSENTIAL SKILLS • Expert-level PostgreSQL experience (complex queries, schema design, optimisation), • Strong Python skills, writing production-quality, testable code, • Experience with database performance tuning, backups, replication, and recovery, • Understanding of data integrity, security, and best practices, • Experience working in a collaborative, distributed engineering environment, • Strong problem-solving skills with the ability to communicate technical concepts clearly, • Full right to work in the UK (no sponsorship) TO BE CONSIDERED… Please either apply by clicking online or emailing me directly at . By applying to this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

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

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.

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.