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We are seeking a highly skilled Storage & Infrastructure Engineer to join our Enterprise Services team. This role is ideal for someone with deep technical expertise in storage platforms, automation, cloud infrastructure, and DevOps practices, who is passionate about delivering high-quality services and driving continuous improvement. Key ResponsibilitiesStorage & Platform Engineering • Certify, test and develop new features and platforms across SAN infrastructure, primarily Dell PowerMax/Vmax-3/XtremIO, Pure FlashArray, HP Primera/Alletra and Cirrus DMS using Broadcom and Cisco SAN switches/directors and iSCSI connectivity., • Carry out end-to-end server-to-storage mapping and remediation activities., • Provide enterprise platform services across UNIX/Linux, Windows, virtualisation and storage environments., • Support the delivery of Developer Services such as virtualisation, ALM, Dev Engineering, Development and Cloud., • Develop cloud-based infrastructure platforms and deliver Infrastructure/Platform-as-a-Service in collaboration with business and DevOps teams., • Ensure service quality targets are met for all platforms., • Manage risk and cost across services and technologies., • Write development code and build automated test scripts for infrastructure products and upgrades., • Contribute to CI/CD pipelines and build automation interfaces between systems., • Expertise in server operating systems: Linux (RHEL), Windows, VMware., • Deep technical knowledge of Dell PowerMax/Vmax3/SRDF/XtremIO, Pure FlashArray, HPE Primera, Cirrus DMS., • Strong experience in Python, Ansible and Shell scripting for automation and as-a-service capabilities., • Proven capability in storage migration (server- and storage-based)., • Experience with infrastructure as code and automation/orchestration tools such as Puppet, Chef, Ansible Tower, Jenkins., • Understanding of cloud and storage infrastructure architecture., • Background in storage engineering, scripting, or automation roles., • Experience with CI/CD engineering approaches., • Experience with Agile methodologies and DevOps practices (desirable). Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks) Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks) Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks) Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks) Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Senior AI Engineer Sheffield - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform. The Company They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth. The Role In this AI Platform Engineer role, you will: • Design, build and operate AI‑first products that deliver measurable value., • Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs., • Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards., • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations., • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP., • Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs, API development, authentication and testing., • Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design., • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK., • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery., • Solid DevOps practices including CI/CD, Docker, observability and automated testing., • A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics. What They Offer • Opportunities to shape AI products from the ground up., • A collaborative environment that encourages innovation and career progression. How to Apply If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Computer Vision Engineer — Autonomy (Remote) We build retrofit autonomy modules for existing UAV fleets operating in GPS-denied environments. This is real-world deployment, not research or simulation. Constrained hardware, degraded comms, systems that have to work first time. Kessari is moving from TRL 6 to TRL 8 with active partners. We need someone to own perception through to targeting, end-to-end. What you’ll do • Build and deploy real-time detection and tracking pipelines on edge hardware, • Take models from training through optimisation into field deployment, • Work on low-latency systems running on constrained GPUs (Jetson class), • Handle messy real-world data (aerial, oblique, thermal, small objects), • Ship systems that run at 30+ FPS in production, • Work in GPS-denied conditions where localisation and perception must hold up under uncertainty You’re a fit if you can • Train and deploy object detection models (YOLO, RT-DETR or similar), • Optimise models for real-time edge inference (TensorRT, ONNX or similar), • Implement multi-object tracking (ByteTrack, BoT-SORT or similar), • Own the data pipeline (collection, annotation, validation), • Work across Python and some C++, Linux, Docker, • Strong bonus, • Experience in GPS-denied navigation or perception systems, • Drone or aerial imagery experience, • Thermal or infrared perception, • Visual SLAM or odometry integration, • CUDA or GPU optimisation, • Synthetic data or simulation What matters This is not a research role. You need to ship fast, handle ambiguity, and make systems work in the field. Comp €90k – €140k+ depending on level Equity and performance upside tied to deployments • DM directly to apply

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £70k - £85k plus bonus, • Location: Fully remote, (UK-based), • Sponsorship is not available for this role Prism Digital have partnered with a super interesting and niche VC-backed client specialising in attack surface management and automated red teaming. Their platform provides organisations with real-time visibility into their attack surface and potential exploitable vulnerabilities. They have received numerous awards for being an up-and-coming security SaaS product company and show no signs of slowing down their growth. They've completed Series A funding, raising $29 million across three funding rounds, and are now seeking a Senior Backend Engineer. This role acts as the intersection between two teams - frontend software team and the security research team. You will be responsible for the entirety of the back end features of the products. You will be in charge of building scalable backend services and awesome messaging queues. You will be responsible for developing a Python-based back end platform that's handling 100,000+s of interactions daily. So the ideal candidate will come from a background of working with applications that are processing large amounts of data, transactions or instances daily. Key Requirements: • Python, • Previously worked at a start up / smaller sized company, • 5 years+ experience, • Ability to build software which scales, • Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka for the messaging queues. The data sits in PostreSQL and MongoDB. Benefits • Up to £85,000, • Fully remote, • 28-day holidays (including bank holidays), • Shares options, • Private health insurance via Bupa, • Competitive pension, • Salary reviews every 12 months This role does not accept applicants outside of the UK, nor does it offer sponsorship Senior Backend Engineer | Python, FastAPI & Scaling | Security SaaS • Seniority Level, • Mid-Senior level, • Industry, • Technology, Information and Media, • IT Services and IT Consulting, • Computer and Network Security, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Back-End Web Development, • Scalability, • Distributed Systems, • Python (Programming Lang Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS

Job Title: Junior Data Scientist/Junior Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Job Requirements: • 2-4 years of experience manipulating data sets and building statistical and machine learning models., • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Experience Developing Machine Learning / Data Science models, from coding to deployment Skills • Hands on expereince in coding (mandatory python and SQL or C++), • Project Management background preferred. Main responsibilities of the position • Collecting data through means such as analysing business results or by setting up and managing new studies, • Transferring data into a new format to make it more appropriate for analysis, • Build tools to automate data collection, • Compare and analyze provided statistical information to identify patterns, relationships, and problems, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Refer to previous instances and findings to determine the ideal method for gathering data, • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering, • Prepare detailed reports for management and other departments by analyzing and interpreting data, • Train assistants and other members of the team how to properly organize findings and read data collected, • Design computer code using various languages to improve and update software and applications, • Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills: • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision, • Python and SQL coding skills are indispensable, • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform, • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc., • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus, • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets, • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc., • Ability to compile and organize statistical information retrieved and present findings to management, • Faculty to work toward multiple deadlines simultaneously, • Strong problem-solving skills with an emphasis on product development., • Certification in a Cloud-Based/Machine Learning service desirable

💼 Senior Infrastructure Engineer 📍 Remote 👉 Up to £65k My Product Path is supporting an organisation at the start of a major, company-wide digital transformation, hiring a Senior Infrastructure Engineer to play a key role in modernising and strengthening their IT estate. It’s a hands-on, technically strong role where you’ll help shape the future infrastructure landscape while keeping critical services stable, secure and performant. 💡 What else makes this opportunity stand out? • Enterprise-wide tech stack transformation, • Strong investment in cloud and modern infrastructure, • High autonomy and visibility within the IT function, • Real influence over infrastructure strategy, • A balance of operational excellence + project delivery What you’ll be doing: Operational Excellence • Maintain and optimise server, security, monitoring and backup environments, • Act as a 3rd line escalation point, • Ensure SLAs and KPIs are consistently achieved, • Own documentation, monitoring and service continuity, • Recommend a strategic direction for infrastructure solutions, • Lead infrastructure projects (upgrades, migrations, new system implementations), • Mentor and support junior engineers, • Promote best practice and professionalism, • Act as a trusted technical voice within the team 🔎 What they’re looking for • 5+ years in infrastructure environments, • Strong troubleshooting and diagnostic capability, • Experience delivering upgrades and migrations, • Comfortable working in high-pressure environments, • Strong documentation and stakeholder communication skills, • Experience managing infrastructure elements of acquisitions, • Multi-platform server migrations Strong experience across most of the below is expected: • Microsoft Azure, • IaaS & IaC, • Microsoft 365 / O365 administration, • Windows Server (2016+) – IIS, DNS, DHCP, • Virtualisation (VMware / Hyper-V), • Active Directory & Domain Management, • Networking (routers, switches, firewalls), • MDM platforms (e.g. Intune), • Backup & Disaster Recovery solutions, • Monitoring tools (Nagios, Zabbix, SolarWinds), • Scripting (PowerShell, Python or Bash), • Server hardware & SAN environments 🌱 Why consider it? • Join at the start of a genuine transformation journey, • Be part of shaping long-term infrastructure strategy, • High-impact role with strong exposure, • Opportunity to mentor and influence

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, 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 ML 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) • Python (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)

Senior RF Validation Engineer - Up to £70,000 per annum + Bonus Edison's client are currently seeking a Senior RF Validation Engineer on a permanent basis to join their growing team. The role can be based in Bristol or Essex and is open to candidates requiring sponsorship as well as offering relocation assistance. To be considered you will have the following experience: • RF Validation, • Optical or Fibre optic, • Semiconductor industry, • Python - Highly desirable yet not essential, • 5+ years in industry To be considered please apply with an up to date CV and I will call to discuss in further detail.

The Company A high-performance proprietary trading firm operating across global digital asset markets. The business has been profitable since inception and runs a lean, engineering-led team focused on building and optimising low-latency trading systems. They operate with a flat structure, minimal bureaucracy, and a strong emphasis on technical excellence and ownership. The Role You will join a small, highly technical team building and optimising real-time trading systems. This is a hands-on C++ role focused on: • Real-time market data processing, • High-throughput, low-latency systems, • Trading infrastructure and execution pipelines, • Performance optimisation across distributed systems What You’ll Do • Design and build high-performance C++ systems, • Optimise latency, throughput, and system efficiency, • Work on real-time data pipelines and execution logic, • Collaborate closely with engineers and trading teams, • Contribute to system architecture and scalability decisions What You’ll Need • Strong C++ experience (modern C++ preferred), • Low-latency or HFT exposure, • Experience working on performance-critical or real-time systems, • Strong understanding of:, • Concurrency / multithreading, • Memory management, • Data structures and algorithms, • Linux environment experience, • Strong problem-solving ability Nice to Have • Trading / financial markets experience, • Python or scripting experience, • Distributed systems experience Why Join • Work on real-time, production trading systems, • High ownership in a small, technical team, • Remote-first across Europe, • Fast-moving environment with direct impact on performance and outcomes Summary A strong opportunity for a C++ engineer looking to work on complex, performance-critical systems in a trading environment, with high ownership and direct impact. Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

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. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. 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: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. 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: .

Software Engineer — Data Systems Who we are We’re Metomic; a data security platform helping enterprises understand and protect sensitive data across their SaaS environments. We process large volumes of real customer data daily and our systems must remain fast, accurate, and reliable under load. Why this role exists Our product depends on data systems that behave predictably at scale. We’re investing in strengthening our data platform - ingestion, storage, querying, streaming, and performance. We need an engineer who understands how architecture decisions affect performance, correctness, and operability. This role will help us evolve and scale systems involving ClickHouse, Postgres, and streaming pipelines, while working across the broader product when needed. What you’ll work on • Designing and improving high-volume data pipelines, • Optimising performance across ClickHouse and Postgres, • Working with streaming/event systems (Kafka-style architectures), • Improving reliability and observability of data workflows, • Debugging real production data and performance issues, • Supporting data platform evolution and migration initiatives, • Contributing to backend systems (primarily TypeScript/Node, with some Go or Python) You’ll work across the product, but your depth in data systems will be your superpower. What we’re looking for • Strong software engineering fundamentals, • Experience operating data systems at scale Relational databases (Postgres, MySQL) • Streaming systems (Kafka, Kinesis, etc.), • Strong performance debugging skills, • Experience in one or more of: TypeScript/Node, Go, Python, • Ability to reason about behaviour under load Bonus: • Experience migrating data between storage engines or evolving schemas at scale, • Experience optimising complex analytical queries, • Experience with distributed systems What success looks like in 6 months • You can explain how our data systems behave under load, • You’ve measurably improved performance or reliability, • Production data issues are diagnosed faster, • At least one scaling or performance bottleneck has been removed How we work We’re a small engineering team where your work directly affects customers. We value: • Engineers who think in systems, • Clear reasoning about correctness and trade-offs, • People who understand how data and infrastructure decisions impact real users Even in data-focused roles, we expect engineers to understand product context and customer impact. Logistics / Hiring / Benefits • UK-based remote role. Monthly London meetup (travel covered for those further out)., • Right to work in the UK required., • Three-stage process including short take-home task., • Great annual leave + stock options.

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 2+ 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 (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or 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 (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or 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. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. 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. 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.

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 Senior 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, • 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: • Python and TypeScript, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • 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 Python, • 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 Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Iron Mountain is seeking a skilled and motivated DevOps Engineer to join our global information management team in UK (100% remote). In this role, you will be responsible for providing critical technical support for applications and hardware, managing our observability strategy, and ensuring the global delivery and performance of our services. You will collaborate closely with network services, software engineering, and development teams to maintain a highly reliable and scalable environment. What You'll Do (Responsibilities) In this role, you will: • Design and Automate Infrastructure: Build and maintain cloud infrastructure on AWS, GCP, or Azure, utilizing tools like Terraform, Ansible, or CloudFormation to automate provisioning., • Optimize CI/CD Pipelines: Develop and manage continuous integration and deployment pipelines using Jenkins, GitLab, or ArgoCD to streamline software delivery., • Enhance Observability: Implement monitoring and logging systems (Prometheus, Grafana, Datadog) to define alerts, dashboards, and log-based metrics that improve application availability., • Lead Incident Management: Respond to real-time outages, perform root cause analysis, and participate in on-call rotations to ensure rapid service restoration., • Ensure Application Sustainment: Oversee the full lifecycle of critical applications, including upgrades, patching, and scaling services to meet global demand while maintaining strict SLOs., • Drive Reliability and Security: Implement self-healing systems, disaster recovery strategies, and security best practices, including regular vulnerability patching and audits. What You'll Bring (Skills & Qualifications) Specific requirements: • Must have UK passport, be UK based for more than five consecutive years and able to obtain Security Clearance The ideal candidate will have: • Previous experience as DevOps Engineer with focus on SRE Engineer., • Strong technical expertise in managed Kubernetes services and cloud networking concepts (VPC, DNS, Load Balancers, and TCP/IP)., • Proven ability in complex troubleshooting using debugging tools like tcpdump or strace and log aggregation tools like the ELK stack or Splunk., • Software Development skills in Python, Java, or .Net, along with experience developing scalable microservices and REST APIs., • A Bachelor's Degree in Computer Science, Engineering, or a related field., • Preferred Certifications: Scrum Master, PMP, or Agile SAFe certification. What We Offer (Benefits): • Location: England (100% remote)., • Competitive Compensation: Salary and benefits aligned with your professional experience., • Work-Life Balance: Flexible work options and alternative arrangements to support your personal needs., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Growth Opportunities: Access to continuous learning and professional development to accelerate your career. Ready to join the team? Apply Today! Do not miss the chance to join a global leader in storage and information management services.

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we're always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready to join us? What's the position? We are looking for a Senior Backend Engineer to join our new Quantitative Sports team. As a Senior Engineer you will play a critical role in the development and maintenance of the backend aspects of the pricing system for our sportsbook and work alongside our quantitative analysts to deliver our in-house pricing solution. This position will be able to come in and have a lot of ownership of the shape of the backend implementation. Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. Key Responsibilities: • Significantly contribute to efforts on a scalable platform designed to perform reliably under intense user and data load, • Be a contributor in architecture discussions regarding the pricing platform, • Be a contributor to the drive to reduce the latency within the system, • Ensure a full testing structure is in place to create confidence and resilience in the system, • Foster team collaboration and knowledge sharing, • Work closely with the quantitative developers to ensure best practices and alignment within the wider department, • Build operational tools and applications to support teams as required What are we looking for? • Minimum 8+ years of engineering experience, • Deep proficiency in Python, especially around backend development, • Experience working in a low-latency platform, • Experience of working in a multi-feed ingestion architecture, • Experience with Micro-Service and Service oriented architectures, • Experience in deploying and managing cloud-based systems and infrastructure (AWS), • Experience with different databases:, • Relational (Postgres, MySQL, etc), • Analytical (Snowflake, Clickhouse), • Strong knowledge of messaging systems (Kafka, RabbitMQ) and pipeline architecture, • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, • Self-driven, meticulous, and ability to prioritize in a complex and fast-paced environment Qualifications: • Bachelor’s Degree (or higher) in Engineering, Computer Science or other related scientific, technical or business discipline, • Minimum of 8 years job related experience Preferred: • Experience within the sports betting industry, • Understanding of pricing engines, trading algorithms, or live odds generation., • Strong interest in sports and sport analytics, • Knowledge with game state feeds such-as Radar & Genius What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: • Competitive pay and benefits, • Flexible vacation allowance, • Flexible work from home or office hours, • Startup culture backed by a secure, global brand, • Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring a Staff Engineer to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

Robert Half is recruiting for a Mid level Data Engineer for a 12 Month FTC. ROLE: Mid level Data Engineer LENGTH: 12 Months FTC LOCATION: UK-based (with occasional London office presence) PAY: depending on experience I’m currently working on an exciting opportunity for a Mid level Data Engineer to join a growing Product Innovation team. This role is ideal for someone who enjoys building scalable data solutions and working with modern cloud technologies. The Role • Designing and building robust data pipelines and architectures, • Working with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse), • Developing and optimising ETL processes, • Ensuring data quality, reliability, and performance, • Supporting data science and AI initiatives, • Collaborating with cross-functional teams to deliver data solutions Essential skills • Strong experience in data engineering (SQL, Python, or Scala), • Hands-on experience with Microsoft Fabric or similar cloud platforms (Azure, AWS, GCP), • Solid understanding of data modelling and pipeline design, • Experience with data visualisation tools (e.g. Power BI or Tableau), • Ability to troubleshoot and optimise data systems If you’re interested please apply or send CV to

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Graduate ASIC Verification Engineer Cambridge or remote within the UK Must have internship or placement experience and be based in the UK. An innovative UK fabless semiconductor company developing next-generation secure microcontroller technology for safety-critical embedded systems. Built on advanced capability-based architecture research, the company is already collaborating with several of the world’s leading technology organisations. I am looking for a talented Graduate ASIC Verification Engineer to join a growing verification team. You will work alongside experienced engineers to ensure the functional correctness and quality of complex digital designs used in next-generation semiconductor products. This role is suited to graduates with strong digital design and verification knowledge, excellent academic performance, and relevant industry experience through internships or placements. Key Responsibilities • Develop and maintain verification environments for digital and ASIC designs, • Write SystemVerilog/UVM testbenches to verify RTL functionality, • Create directed and constrained-random tests, • Run simulations, analyse results, and debug failures, • Contribute to coverage-driven verification strategies, • Work closely with design engineers to resolve functional bugs, • Participate in design and verification reviews, • Document verification plans, test results, and coverage metrics Required Qualifications • Bachelor’s or Master’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline, • First Class or Upper Second Class (2:1) degree from a top engineering university, • Minimum 12 months of relevant internship or industrial placement experience, • Strong understanding of digital logic design and computer architecture, • Knowledge of HDL languages (SystemVerilog, Verilog, or VHDL), • Strong analytical and problem-solving skills, • Good written and verbal communication skills Desirable Skills • Experience with SystemVerilog verification and UVM – through internship, • Exposure to coverage-driven verification methodologies, • Familiarity with EDA tools (Synopsys VCS, Cadence Xcelium, Siemens Questa), • Knowledge of Python, Tcl, or scripting for verification automation, • Understanding of ASIC design flows, • Enthusiasm for semiconductor design and verification On offer is the rare opportunity to work for a British company and remotely, mentorship from experienced ASIC engineers and the opportunity to work on advanced semiconductor projects. You will be entitled to a base salary and company stock options. For more information please contact Rachel Mason at IC Resources

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

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 We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

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: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. 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: .

Cloud Platform Engineer Location: London (Hybrid) Salary: £65,000 – £75,000 20% Employer Pension Contribution I’m working with a well known public sector organisation to hire a Cloud Platform Engineer to play a key role in building and maintaining their Azure cloud infrastructure. This position will focus on infrastructure as code, automation, and platform reliability, working closely with development and DevOps teams to deliver scalable, secure, and high-performing cloud environments. What you’ll be doing: • Designing and managing Azure cloud infrastructure using IaC (Terraform), • Building and maintaining CI/CD pipelines for infrastructure and applications, • Monitoring systems, troubleshooting issues, and improving reliability, • Implementing security, compliance, and governance best practices, • Supporting incident management and root cause analysis, • Collaborating with engineering teams to embed DevOps practices The Cloud Platform Engineer will have: • Strong experience with Azure cloud services, • Proven experience with Infrastructure as Code (Terraform), • Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.), • Scripting skills (PowerShell, Bash, or Python), • Knowledge of containers (Docker, Kubernetes), • Understanding of cloud security, networking, and monitoring tools

Lead Data Platform Engineer Remote (UK-based) SC Clearance Required (British Citizen) Permanent - Up to £110,000 + Benefits We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms. The Role As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs. Key Responsibilities • Design, build, and deploy data pipelines and backend services, • Work with real-time streaming technologies and event-driven architectures, • Champion engineering best practices including TDD, CI/CD, and clean code, • Collaborate with architects, analysts, and testers in Agile/BDD environments, • Take ownership of services in production, ensuring performance and reliability, • Drive continuous improvement across data platform capabilities, • Contribute to solution design, estimation, and delivery planning Required Experience • Strong production Java experience, • Experience with Kafka, Kinesis, or similar streaming technologies, • Hands-on experience with Spark, Flink, Kafka Streams, or similar, • Experience with Spring Boot and/or Python, • Strong experience with AWS (including Lambda and S3), • Experience integrating with PostgreSQL, Redis, or similar, • Solid understanding of data pipelines and data modelling, • Passion for clean, testable, and maintainable code, • Experience working in Agile and/or DevOps environments Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Familiarity with Terraform, Ansible, or Packer, • Experience with CI/CD tools such as Jenkins or Drone If you are interested, please apply or get in touch to discuss further.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Digital Design Engineer - Cryptography 📍 Office based in London - monthly visits required 🏠 Remote position in the UK 📄 3 months contract - Outside IR35 💷 Rate negotiable 5V Tech is supporting a cutting-edge silicon security company delivering trusted solutions for modern SoCs, chiplets, and connected devices. They are looking for a Digital Design Engineer with experience in Cryptography to join their project and start contributing from day 1. They combine low-footprint security IP with lifecycle software to ensure identity, integrity, and trust are anchored directly in silicon and maintained across manufacturing, deployment, and operation. This is a hands-on role for someone who has implemented cryptography at hardware level, not just worked on theory. The project: • Designing and implementing secure digital architectures for ASIC/FPGA, • Building and optimising hardware modules for cryptographic algorithms (AES, SHA, TRNG), • Working on Root of Trust systems and secure hardware components, • Applying countermeasures against side-channel attacks, • Contributing across RTL design, verification, and timing analysis Requirements: • Extensive experience in digital design, • Strong background in hardware-based cryptography implementation, • Excellent Python skills, • Solid Verilog or VHDL skills, • Experience working on ASIC or FPGA targets 5V Tech are acting as an Agency for the purposes of this contract. We offer a reward scheme if you can recommend someone for this contract, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Job Title: Senior DevOps & Back-end Engineer – Strategy & Corporate Finance Who You’ll Work With You’ll join clients Strategic Growth Hunter team, a high-impact engineering and analytics squad that designs and scales cloud-native solutions powering our financial intelligence platforms. We work with cutting-edge tools to automate infrastructure, manage scalable deployments, and ensure robust performance under heavy data loads. Our environment encourages autonomy and technical excellence — whether in AWS architecture, container orchestration, or backend services built in Scala and Python. Join us to help redefine how organizations create value, combining deep analytics, DevOps automation, and scalable architecture to drive impact across Strategy & Corporate Finance. What You’ll Do As a Senior DevOps & Back-end Engineer, you’ll be responsible for building, automating, and maintaining reliable, scalable cloud environments while contributing to backend development where needed. Your key responsibilities will include: DevOps & Cloud Infrastructure (≈80%) ∙ Design, build, and maintain AWS-based infrastructure supporting high-performance analytics platforms. ∙ Use Terraform for Infrastructure as Code (IaC), ensuring reproducibility and scalability of deployments. ∙ Implement, manage, and optimize Kubernetes clusters for container orchestration and microservice scaling. ∙ Automate CI/CD pipelines, monitoring, and alerting using industry best practices. ∙ Configure and manage databases — PostgreSQL, MongoDB, and Kafka — ensuring reliability, replication, and performance. ∙ Champion cloud security, cost optimization, and disaster recovery best practices. Software Development (≈20%) ∙ Contribute to backend service development, primarily using Scala and Python. ∙ Develop and maintain APIs, microservices, and data processing pipelines integrated with the DevOps stack. ∙ Collaborate with other engineers to ensure code quality, maintainability, and smooth integration with CI/CD systems. ∙ Support cross-functional teams (product, analytics, design) by implementing scalable and efficient solutions. Qualifications Required DevOps Skills ∙ Strong DevOps expertise in AWS, Terraform, and Kubernetes (EKS preferred). ∙ Experience in managing databases (MongoDB, PostgreSQL), and queues (Kafka). ∙ Proficiency in CI/CD tools (GitHub Actions is a preference.). ∙ Hands-on experience with containerization (Docker), Linux-based containers and infrastructure automation. ∙ Solid understanding of monitoring and logging frameworks. Required Development Skills ∙ Experience in development and debugging of JVM-based applications (Scala preferred) and Python applications. ∙ Familiarity with RESTful API design, microservices architecture, and data-intensive backend systems. General ∙ Strong analytical and problem-solving skills. ∙ Eager to learn new technologies. ∙ Effective communicator with both technical and non-technical audiences. ∙ Comfortable in Agile, high-paced, collaborative environments. ∙ Fluent in English (written and spoken).

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

Storage Automation SME +Hybrid in Sheffield +6 months+ +£540 a day Inside IR35 We are seeking a Storage Automation Subject Matter Expert (SME) to engineer, automate, and operate enterprise SAN and storage platforms. The role focuses on modern automation, DevOps integration, and delivering storage and infrastructure "as-a-Service" across on-prem and cloud environments. Key Responsibilities Certify, test, and develop enterprise SAN platforms including Dell PowerMax / VMAX-3 / XtremIO, Pure Storage FlashArray, Hewlett-Packard Enterprise Primera / Alletra, and Cirrus Data Solutions DMS. Automate storage install, provisioning, migration, compliance, and operational support using Python, Ansible, and scripting. Work with Broadcom and Cisco SAN switches and iSCSI connectivity. Deliver enterprise platform services across Linux, Windows, VMware, storage, and virtualisation. Build and integrate automation into CI/CD pipelines and Infrastructure-as-Code frameworks. Support cloud-based platform delivery and collaborate with DevOps and business teams. Contribute to technology strategy, service quality, risk, and cost management. Skills & Experience Strong experience with Linux (RHEL), Windows, and VMware. Expert knowledge of enterprise storage platforms and SAN architectures. Proven background in storage automation, remediation, and migration. Experience with Infrastructure-as-Code, CI/CD, and De...

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

Key Responsibilities: • Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives., • Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring., • Establish architectural standards, design patterns, and engineering best practices., • Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation., • Review and approve solution designs produced by AI Solution Engineers and wider delivery teams., • Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff., • Set technical direction and ensure consistency in engineering standards across AI initiatives., • Conduct code and design reviews to ensure quality, security, and maintainability., • Identify capability gaps and drive upskilling across the AI team., • Foster a collaborative, high-performance engineering culture., • Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations., • Oversee deployment of AI systems into secure or controlled environments., • Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks., • Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability., • Lead remediation and optimisation efforts when performance, compliance, or operational risks arise., • Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design., • Ensure compliance with data governance, security, and regulatory requirements., • Support accreditation and assurance activities within regulated or defence environments., • Identify, assess, and mitigate technical risks associated with AI deployment., • Translate operational or business requirements into AI-enabled solution approaches., • Engage senior stakeholders, providing clear technical briefings and strategic recommendations., • Contribute to AI capability roadmaps and innovation strategies., • Lead technical input into bids, proposals, or programme planning activities where required., • Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases., • Drive continuous improvement of AI engineering practices, tooling, and delivery methods., • Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: • Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments., • Strong Python expertise and deep knowledge of ML frameworks, • Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies, • Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices, • Strong understanding of API-led integration within enterprise systems, • Experience embedding responsible AI principles into architectural design, • Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes, • Accountability for technical risk identification and mitigation, • Experience translating operational requirements into AI-enabled capabilities, • Ability to engage and influence senior stakeholders, • Experience defining AI roadmaps and technical strategy, • Strong decision-making capability balancing innovation, risk, and operational constraints, • Proven experience leading, mentoring, and developing AI/ML engineers, • Strong systems-level analytical thinking, • Ability to operate autonomously with accountability for outcomes, • Degree in relevant discipline or equivalent senior-level experience JBRP1_UKTJ

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

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.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

About the Company We are a consultancy building bespoke operational software for manufacturing clients. Our systems replace Excel-driven processes with structured web applications and operational data platforms used across planning, production and reporting. About the Role We’re looking for a senior full-stack developer to help deliver data-heavy production systems used by live operational teams. You will work alongside our principal engineer but take ownership of building and improving application modules within an existing platform. This includes working directly with clients on Teams calls to understand requirements, shape solutions and deliver them into production. This is a hands-on development role focused on shipping reliable software and solving real operational problems, not building prototypes. A key part of this role is the effective use of AI-assisted development tools. We use tools such as Claude Code heavily, and we are looking for someone who is highly proficient in using them to design, build and iterate quickly. Responsibilities You will be working on an established data platform and application suite used by manufacturing operations. The system consists of: • An on-premises SQL Server data warehouse, • A Laravel + Livewire application layer, • Supporting Python scripts and data pipelines, • Your role will involve translating business requirements into working applications and improving the reliability of existing systems. Typical work includes: • Enhancing operational applications (materials management, labour tracking etc.), • Speaking with clients to take requirements and feedback, • Building bespoke modules to support operational reporting, • Improving data pipelines and system reliability (ETL), • Working with complex schemas and production datasets, • Maintaining systems already in daily operational use Required Skills • Laravel / TALL Stack, • Laravel (PHP), • Livewire, • Python scripting, • Alpine.js, • Tailwind CSS, • Eloquent ORM, • Experience with Laravel Jobs, Queues, Imports/Exports and Livewire lifecycle hooks, • Strong SQL skills (T-SQL preferred), • Experience working with complex relational schemas, • Comfortable working with production data systems, • Familiarity with AI coding tools (Claude Code, Cursor, Copilot or similar) AI-Assisted Development (Core Requirement) • Strong experience using AI coding tools such as Claude Code, Cursor, or similar, • Comfortable using AI to design, scaffold and iterate on production systems, • Able to critically review and refine AI-generated code, • Pragmatic approach to using AI to improve speed without compromising quality Pay range and compensation package Rate: Competitive day rate IR35: Outside IR35 Term: 3-6 Month Contract (likely extension) Equal Opportunity Statement We are committed to creating an inclusive environment for all applicants. We welcome candidates from all backgrounds and experiences and make hiring decisions based on skills, experience and ability to do the role.

We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Excellent experience with Python.

Due to progression, this role exists to replace a senior engineer within a well-established software company operating in the highly regulated energy sector. Senior Python Software Engineer Circa £56,000 + up to 15% bonus | Hybrid (2 days per week in Oxford) The software you'll work on is business critical. It must be reliable, auditable, and able to stand up to regulatory scrutiny. That shapes how engineering is done here: considered design, well-tested code, and a focus on doing things properly rather than quickly. If you're a Python engineer ready to take on more responsibility, mentor others, and work in an environment where engineering discipline matters, this role is designed for you. What you'll be working on You'll join a software-led organisation, contributing to the design, development, and ongoing improvement of commercial systems used within a regulated energy environment. Your work will include: • Building and maintaining Python-based services and applications, • Writing clear, well-tested, and maintainable code, • Contributing to design decisions and agreed technical standards, • Reviewing code and helping raise engineering quality across the team, • Supporting reliable releases in a cloud-hosted environment You'll report directly to a Principal Software Engineer and work alongside experienced engineers who value clarity, quality, and pragmatic problem-solving. What 'senior' means here This is not a people-management role. Seniority is demonstrated through: • Sound technical judgement, • Ownership of complex pieces of work, • Mentoring and supporting less-experienced engineers, • Leading by example in code quality, testing, and delivery It's well suited to someone who may not yet hold a senior title, but is already operating at that level and ready to step up. Essential experience • Commercial experience developing software with Python, • Experience building and maintaining production systems, • A strong approach to testing and code quality, • Experience working in a cloud environment, • AWS Working pattern and location • Hybrid role with 2 days per week onsite, • Office location: Oxford Salary and benefits • Circa £56,000 base salary, • Bonus up to 15% (personal and company performance), • 25 days' annual leave plus bank holidays, • Pension scheme (4% employer contribution when you contribute 5%), • Health care scheme (including dental and eye care), • EV car scheme (terms apply), • Free onsite gym, • Employee Assistance Programme and wellbeing support, • Paid volunteering day each year Interested? If you're a Python engineer looking to step into a senior-level role, working on meaningful software in a regulated environment, this is worth a conversation. Apply directly or contact Chris Lynes at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ