Python engineer jobs in BirminghamCreate job alerts

Location: UK remote work (Very occasional office travel)Contract: £400 to £450 p/d Inside IR35 contractOverviewWe are seeking an experienced Quality Engineer (Performance & Resilience Management) to lead non-functional testing (NFR) activities within a major Energy & Utilities programme. This role involves overseeing performance testing across complex systems, ensuring stability, scalability, and resilience of critical applications.Key Responsibilities • Lead the performance test team and manage day-to-day test activities., • Conduct performance testing questionnaire evaluations., • Prepare detailed Performance Test Plans and Performance Closure Reports., • Gather and validate Non-Functional Requirements (NFRs)., • Develop and maintain scripts using Python, Groovy, and custom code where required., • Execute performance tests using recognised tools such as JMeter and LoadRunner., • Monitor application performance using tools including Grafana, New Relic, AppDynamics, and ELK., • Proven experience as an NFR Lead Tester., • Strong background in performance testing and performance engineering., • Hands-on experience with:, • JMeter, LoadRunner, • Python, Groovy, custom scripting, • Grafana, New Relic, AppDynamics, ELK, • Ability to analyse performance issues and drive resolution with development teams. 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

Senior Devops Engineer (Contract) £700 per day | 3-Month Contract (Likely to Extend) | Onsite - Oxford Based Are you a Platform/Linux/DevOps expert who thrives on complex challenges? Do you love working at the intersection of science, technology, and hardware innovation? Ready to join a high-growth, cutting-edge tech environment where your impact is immediate? Our client, a scaling technology business with ambitious plans, is on the lookout for seasoned Senior Linux Platform Engineers to play a pivotal role in their DevOps transformation. This is your chance to join a project that blends scientific complexity with technological excellence, perfect for DevOps professionals who enjoy solving sophisticated problems, influencing infrastructure decisions, and working hands-on with the latest in modern tooling. Why This Role is Great • Shape the Future of Infrastructure: Drive the migration from Linux-based systems to cloud-native environments in a way that blends reliability, scalability, and performance., • Cloud without Boundaries: Work in a cloud-agnostic setup (primarily AWS and GCP), offering broad exposure to both platforms-no rigid vendor lock-in., • Hands-On with Leading Tech: Tackle real-world challenges using Docker, Kubernetes, Terraform, and Ansible in an agile and forward-thinking team., • Be Where Science Meets Tech: Collaborate with specialists across engineering and data science, contributing to projects that operate at the edge of hardware innovation., • Ownership from Day One: Hit the ground running and take immediate ownership of complex problems in a fast-paced, supportive environment. About You You’ll bring a solid foundation in Linux systems and have proven experience guiding businesses through cloud transformations. You may have previously worked in scientific, hardware, or deep-tech environments and have a natural ability to unravel technical complexity and make smart, scalable decisions. You’ll also enjoy working onsite-immersed with the team, collaborating closely, and shaping solutions in real time. You may have worked with or be eager to deepen your experience with: • Public cloud platforms – AWS, GCP, or both, • Container orchestration – Kubernetes & Docker, • Infrastructure-as-Code – Terraform, Ansible, • Monitoring tools – Grafana, Datadog, Prometheus, etc., • Python – for development, scripting and automation, • Solving complex technical challenges in environments where hardware and software intersect, • Working in highly collaborative, cross-functional teams If you don't tick every box but bring similar experience and the ability to adapt quickly, we strongly encourage you to apply. The Offer • £700-750 per day (Outside IR35), • Initial 3-month contract with strong likelihood of extension, • Onsite role (majority of the week), • Start ASAP Apply Now If you’re ready to make an impact in a tech-driven, fast-scaling organisation where no two days are the same, we’d love to hear from you. Submit your CV today to explore the next big step in your DevOps career. We are committed to building inclusive teams. We welcome applications from people of all backgrounds, experiences, and perspectives. Our client values diversity and believes a broad range of ideas and experiences makes for better outcomes.

Data Engineer Hybrid: Birmingham Salary: £45000 to £50000. This is an exciting opportunity to step into a hands on Data Engineer role within an analytics team that is growing in both scope and influence. You will play a key part in stabilising and evolving a broad data environment while supporting a business that is increasing its digital footprint and analytical maturity. The Company They are an established manufacturer in the healthcare space with a strong reputation for product quality, research, and customer care. The organisation is scaling quickly, expanding internationally, and investing in data as a core enabler for decision making. The culture is collaborative and people focused, with a close knit feel, modern office space, and regular exposure to senior leadership. Their analytics function partners with sales, marketing, operations, and quality teams to provide insight across the business. The Role • Maintain and enhance core data pipelines across Azure., • Manage nightly data ingestion from legacy operational systems into Azure SQL., • Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting., • Conduct web scraping using Python to support customer and market insight., • Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets., • Support analysts by ensuring reliable access to clean, accurate data., • Work closely with IT on infrastructure and large data assets., • Produce reporting inputs for sales, marketing, production planning, and quality teams., • Build dashboards and support insight generation for stakeholders across the business. Your Skills and Experience • Strong commercial experience with Azure, Python and SQL., • Confident managing and maintaining data pipelines in a production environment., • Comfortable working with APIs and integrating third party data sources., • Able to work hands on from day one and adapt within a mixed modern and legacy environment., • Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets. How to Apply If this sounds like the right next step for you, please apply with your CV and we will be in touch.

Senior Python Engineer Hybrid working - 3 days per week onsite Salary up to £70,000 per annum A leading Birmingham-based client is seeking a Senior Python Engineer to design, build, and deploy applications using Python frameworks and LLM APIs. The position focuses on developing scalable, secure AI services in Azure's public cloud and involves hands-on work throughout the development life cycle, including API design, data access, AI integration, and cloud deployment. Key skills and responsibilities: • Design, develop, and maintain AI-driven applications and services utilising Python., • Build and manage RESTful APIs with FastAPI., • Integrate and oversee Large Language Models via OpenAI API or Claude (Anthropic) API., • Implement robust data access layers using SQLAlchemy., • Enhance performance and scalability by leveraging Redis for caching, session management, and task coordination., • Develop analytical dashboards and streamlined user interfaces with Dash., • Deploy, configure, and support applications on Azure App Services (Public Cloud)., • Ensure all solutions adhere to security, performance, and reliability standards., • Collaborate effectively with product owners, data engineers, and stakeholders to translate business requirements into solutions.

Senior Python Engineer Hybrid working - 3 days per week onsite Salary up to £70,000 per annum A leading Birmingham-based client is seeking a Senior Python Engineer to design, build, and deploy applications using Python frameworks and LLM APIs. The position focuses on developing scalable, secure AI services in Azure's public cloud and involves hands-on work throughout the development lifecycle, including API design, data access, AI integration, and cloud deployment. Key skills and responsibilities: • Design, develop, and maintain AI-driven applications and services utilising Python., • Build and manage RESTful APIs with FastAPI., • Integrate and oversee Large Language Models via OpenAI API or Claude (Anthropic) API., • Implement robust data access layers using SQLAlchemy., • Enhance performance and scalability by leveraging Redis for caching, session management, and task coordination., • Develop analytical dashboards and streamlined user interfaces with Dash., • Deploy, configure, and support applications on Azure App Services (Public Cloud)., • Ensure all solutions adhere to security, performance, and reliability standards., • Collaborate effectively with product owners, data engineers, and stakeholders to translate business requirements into solutions. Interested?! Send your up-to-date CV to Emma Siwicki at Harvey Nash for review

Digital Manufacturing Engineer Manufacturing Industry - AWS £60 - £85k + bonus Remote - UK Travel 2-4 days per month We are working with an established consultancy made up of a passionate team of technologists and problem solvers dedicated to helping manufacturers transform their operations. By combining front-line expertise, modern technologies, and industrial know-how, they deliver solutions that make a tangible difference on the shop floor. The Digital Manufacturing Engineer will work directly with customers and as part of their manufacturing solutions team to design, build, and implement digital solutions using their front-line operations platform (Tulip). You will bridge the gap between technology and manufacturing operations, ensuring that solutions are practical, intuitive, easy to use, and impactful. This is an exciting opportunity to join a highly talented team where your ideas, technical curiosity, and problem-solving mindset will directly shape the digital future of manufacturing. Required Skills & Experience: • Proven experience building data and technology solutions for industrial or manufacturing environments., • AWS Certified Engineer with hands-on experience setting up, securing, and managing AWS infrastructure and services., • Understanding of hybrid architectures (Cloud / Edge) and their application in manufacturing contexts., • Experience working with machine connectivity, industrial protocols, and edge computing frameworks., • Practical experience developing or deploying applications for operators on the shop floor., • Experience developing in AWS-compatible programming languages, such as Python, Node.js (JavaScript/TypeScript), Java, or .NET (C#)., • Problem-solving skills, creativity, and a genuine passion for applying technology to real-world challenges., • Excellent communication skills and comfort in customer-facing environments., • Commitment to human-centred and people-centric design principles. The role is based remote, with expectations to travel to clients 2–4 days per month depending on requirements. The package on offer includes a 10% bonus and private healthcare. If you are an AWS Engineer or Architect, with a background in manufacturing, looking to join an exciting business, please apply now.

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.

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: .

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

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).

Location: Remote (UK/EU preferred) Type: Freelance Contract (Part-time ad-hoc, project-based, potential for long-term collaboration) Hours: Work on your own schedule but must be available for 1 meeting per week during UK working hours. About WineFi WineFi is a data-driven platform for fine wine investing. We combine financial modelling, machine learning, and deep domain expertise to uncover undervalued wines and select assets that outperform the wider wine market. Our work bridges quantitative finance and alternative assets, helping investors make smarter decisions in an opaque market. The Role We’re seeking a freelance Backend / API Engineer to design and build production-grade APIs that expose our proprietary wine market data to our platform and external stakeholders. This role is ideal for someone with experience building clean, reliable, and well-structured APIs on top of complex data systems. Your first project will be to design and build a robust external-facing API layer that serves curated datasets from our internal databases. Over time, you may play a key role in improving how our data systems integrate with our platforms. Requirements • Proven experience as a Backend Engineer / API Engineer (3+ years), ideally in a startup or freelance environment., • Strong Python programming skills (FastAPI, Flask, or similar frameworks), • Experience building and maintaining production APIs used by external clients, • Strong SQL skills, including query optimisation and schema understanding, • Experience working with PostgreSQL;, • Familiarity with AWS (e.g. EC2, RDS, Lambda, API Gateway, etc.), • Experience with API security (authentication, rate limiting, key management), • Strong communicator, able to work independently and asynchronously Nice-to-have • Familiarity with ETL pipelines and orchestration tools (Dagster, Airflow, Prefect), • Experience with Motherduck, DuckDB, Dagster, dbt and Modal also beneficial., • Exposure to financial, time-series, or alternative asset datasets Responsibilities • Design and build scalable, production-grade REST APIs in Python., • Structure endpoints for both internal platform use and external clients/partners, • Implement authentication, rate limiting, and access control for external users, • Build efficient data access layers on top of PostgreSQL and internal data models, • Optimise query performance and API response times, • Ensure high availability, logging, and monitoring of API services, • Help define best practices for API structure, versioning, and maintainability, • Contribute to the broader architecture connecting data pipelines, databases, and application layers Collaboration • Work closely with data scientists and the head of data to align API outputs with models and research., • Support frontend/platform needs for seamless data consumption. Why work with us? • Freelance flexibility with potential for long-term collaboration -- we have lots to build!, • A lean, ambitious environment where your work has direct impact, • The opportunity to build the core API layer of a data-driven investment platform, • Work closely with the founding team across data science and engineering Unedited, AI-generated applications and messages are highly discouraged. Please start any message to us with 'original' and keep them under 100 words.

💼 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

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

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.

Do you want to build infrastructure that enables entirely new scientific discovery? Have you scaled data systems for ML workloads where performance actually matters? Are you ready to own foundational infrastructure at global, research-grade scale? We’re working with a mission-driven AI research organisation applying advanced multimodal machine learning (audio, spatial, sensor, text, etc.) to understand animal communication. Operating at the intersection of ML research, large-scale data infrastructure, and real-world biological data, this team functions like a high-performance research lab with production-grade engineering standards. They are entering a growth phase and are scaling the core systems that power distributed AI research, large multimodal datasets, and public-facing data platforms. This is not consumer tech or ad optimisation - the infrastructure you build directly enables new scientific discovery. The role This is a Senior Infrastructure Engineer (Backend / Data Performance) position focused on designing, scaling, and hardening the data and backend platforms that support distributed ML workloads and TB–PB scale datasets. You’ll work closely with researchers and engineers to turn experimental systems into reliable, high-performance, production infrastructure. Key responsibilities • Design and optimise high-performance data pipelines for large, heterogeneous datasets, • Scale public-facing data infrastructure supporting ML research, • Optimise distributed AI workloads for latency, throughput, reliability, and GPU utilisation, • Build observability tooling for data quality, pipeline health, and experiments, • Support GPU infrastructure for large-scale model training, • Translate research prototypes into robust, production systems, • Scope and supervise work for interns, PhDs, and post-docs Key details • Salary: up to £150k (may be flexibility to £160k) (UK), • Working model: Fully remote (UK), • Tech stack: Python, Kubernetes, Docker, Terraform, GCP, GPU clusters, • Visa: No sponsorship, • Seniority: 5+ years backend / infrastructure engineering (flexible for exceptional profiles)

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

Senior Analytics Engineer | SQL, Python, BigQuery | Remote, up to £110k A growing data-driven technology company is looking for a Senior Analytics Engineer to play a key role in building and maintaining a high-quality data platform that powers advanced analytics and AI-driven systems. This is a highly investigative role suited to someone who enjoys working with complex datasets, identifying anomalies, and improving data structures so that both humans and machines can rely on the information they consume. You’ll join a team modernising their data platform on Google Cloud, working with technologies such as BigQuery, Dataflow, SQL, and Python to transform messy, real-world datasets into well-structured, machine-readable data. The Role You’ll act as the bridge between data analysis and engineering, proactively identifying data quality issues, investigating root causes, and implementing technical solutions that improve reliability and transparency across the platform. Alongside solving complex data problems, you’ll help design and evolve the underlying data models so that datasets are structured for automated analysis and AI-driven systems. Key Responsibilities • Investigate and resolve data anomalies before they impact downstream systems or users, • Perform deep-dive analysis into complex datasets to identify root causes of inconsistencies, • Build and maintain SQL-based transformations and Python scripts to improve data quality, • Design and evolve data models that enable scalable analytics and AI-driven use cases, • Strong SQL expertise and experience working with complex analytical queries, • Experience using Python for data processing, transformation, or automation, • Background working with modern data platforms (e.g. BigQuery, Snowflake, Redshift or similar), • Experience modelling structured datasets within a data warehouse environment, • Strong analytical mindset with a natural curiosity for investigating data issues, • Ability to communicate clearly with both technical teams and senior stakeholders Location: Remote Salary: £90 - 110k Senior Analytics Engineer | SQL, Python, BigQuery | Remote, up to £110k

We’re hiring a Forward Deployed Engineer to join a category-defining, AI-native enterprise platform transforming how complex financial decisions are made. Backed by significant late-stage venture funding, the company has scaled rapidly to a 150+ person team with a deeply technical engineering core, achieved multi-million dollar revenue within its first few years, and is already live in production with major enterprise customers. Well-capitalised, commercially proven, and positioned to define a new category in its market. What You’ll Do • Lead 8–12+ week technical implementations, • Write and push production backend code, • Own API integrations and complex data workflows, • Debug SQL, async services, and distributed systems, • Work directly with customer engineering teams, • Influence product roadmap from the field High autonomy. High visibility. Real ownership. This is hands-on engineering in production, alongside customers. You’ll sit at the intersection of product, engineering, and real-world deployment - shipping code that directly impacts underwriting and portfolio performance at some of the largest insurers in the world. What We’re Looking For • Strong backend engineering fundamentals (Python, TypeScript, or similar), • Deep comfort with SQL (joins, aggregations, performance tradeoffs), • Experience shipping production systems in B2B SaaS, • API fluency: designing, debugging, integrating, • Comfort reasoning about distributed systems and async behavior, • Strong communication - you can explain technical tradeoffs to non-technical stakeholders, • You currently write code. Daily. Compensation UK: Senior-level London benchmark comp + bonus + equity Remote (US/Canada/UK) If you want to build AI systems that actually make high-stakes decisions in the real world, let’s talk.

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.

Distributed Systems Engineer / Ray Framework SME A fast-growing, early-stage infrastructure company building at the intersection of AI and distributed compute! They’re looking for an Nngineer with strong experience in Python-based distributed computing, strong experience with Ray Framework in particular, to help design and scale systems handling complex, high-throughput workloads. What you’ll be doing • Designing and building distributed systems for large-scale compute workloads, • Scaling Python-based services across clusters and cloud environments, • Working on ML infrastructure / platform tooling (training, orchestration, or inference pipelines), • Improving performance, reliability, and fault tolerance across distributed environments, • Collaborating closely with data scientists and ML engineers to productionise models What they’re looking for • 6-8 years of experience minimum in Systems/Software Engineering., • Strong experience with Ray (e.g. Ray Core, Ray Serve or Ray Tune), • Strong experience with distributed systems or parallel computing, • Solid Python skills (production-level), • Experience with frameworks like Ray, Spark, Dask, or similar, • Exposure to Kubernetes / containerised environments Nice to have • Background in ML infrastructure, data platforms, or backend systems ideal, • Familiarity with PyTorch / TensorFlow in production environments, • Experience building internal platforms or developer tooling, • Cloud experience (AWS, GCP, or Azure) Why join? • Work on genuinely complex distributed problems at scale, • High ownership and impact in a growing team, • Opportunity to shape ML infrastructure from the ground up, • Strong engineering culture with a focus on performance and scalability Location / Package • Ideally London, onsite, but remote will be considered for the right fit., • Up to circa £130k + benefits per annum (dependent on experience)

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 team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science 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. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £75k - £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

Forward Deployed Engineer (FDE Python AWS SaaS) Manchester / WFH to £80k. Do you have strong backend Python and AWS skills combined with client facing experience?. As a Forward Deployed Engineer you will collaborate closely with clients, taking ownership of client bespoke projects end-to-end with a

DWP. Digital with Purpose. We need software engineers with skills in COBOL. As a COBOL Software Engineer, you'll join one of DWP Digital's specialist engineering teams responsible for maintaining, modernising and transforming the core platforms that keep vital payments flowing to over 15 million people every year. These systems - built using Microfocus COBOL - are at the heart of DWP's operational stability, and your work will directly impact the availability, accuracy and resilience of services relied upon by millions. This is a hands-on engineering role with real leadership impact. You'll guide and develop a team of 5 engineers, drive technical direction across multiple applications and lead the modernisation of some of the most significant legacy services in government. Over time, you'll play a role in helping DWP transition these core systems into Java-based services, giving you continued exposure to new and emerging technologies. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? • Strong, hands-on experience working with Microfocus COBOL, especially building or maintaining large-scale systems., • Awareness of additional technologies such as Tuxedo, Red Hat Enterprise Linux and scripting languages., • Understanding of tools or languages like Python, Java, Ansible, Jira, and cloud platforms such as AWS., • Knowledge of SQL and the fundamentals of object-oriented principles., • Awareness of test-driven development and approaches like business-driven development. As a COBOL Software Engineer, you'll be central to maintaining and modernising the platforms that deliver over £150bn in payments every year. These services are some of the largest and most important in the UK, and you'll be responsible for ensuring they remain stable, secure and resilient. You'll work within our delivery teams, helping to lead refactoring work across some of our major COBOL applications, modernising how they operate today and preparing them for the strategic technology shift DWP is undertaking over the next decade. This role has a strong leadership and development focus. You'll coach and mentor junior engineers, support those progressing through our Engineering Academy, and help grow the next generation of specialist COBOL talent. You'll also provide 3rd-line support when needed, resolving complex technical issues that require deep system understanding. We can promise challenge and variety. One day you might be leading technical improvements to legacy codebases; the next, planning infrastructure maintenance, resolving live service challenges, or influencing how we deliver future modernisation programmes. If you enjoy solving complex engineering problems and developing the next generation of engineering talent, then this is an opportunity to make a real impact and leave a long-lasting legacy on the future of public services. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £59,813. That's £46,547 salary plus a Digital Allowance of up to £13,266 subject to our assessment of your capability at interview Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £13,485 per year. Holidays: A generous leave package starting at 24 days and rising to 26 days after one year. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: • Flexible working including flexible hours and flex-friendly policies, • Time off volunteering and charitable giving, • Bring your authentic self to work with 'I Can Be Me in DWP', • Discounts and savings on shopping, fun days out and more, • Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference, • Sports and social activities, • DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards, • Diverse and Inclusive Leadership at Digital Leaders Awards 2024, • Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. Click APPLYfor more information and to start your application. JBRP1_UKTJ

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

Job Title: GCP Data Engineer (DBT, Cloud Composer, Python, Terraform) Location: Edinburgh / Leeds/Halifax (hybrid 2/3 days from office) Experience: 10+ years Role Overview We are seeking an experienced GCP Data Engineer with strong expertise in DBT, Cloud Composer, Python, and Terraform Required Skills & Experience • Strong hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.)., • Proven experience in DBT for data transformation., • Expertise in Cloud Composer / Apache Airflow for workflow orchestration., • Advanced proficiency in Python., • Solid experience with Terraform for infrastructure provisioning., • Demonstrated experience in migrating legacy systems (on-prem or other cloud) to GCP., • Strong understanding of data warehousing concepts and ETL/ELT frameworks., • Experience in leading teams and managing end-to-end delivery.

Job Title: Junior Big Data Developer Location: UK Experience: 2-5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Role Overview: We are seeking an experienced Scala /Hadoop/ Big Data Developer. The role will focus on building and enhancing data-driven solutions, working within a fast-paced financial services environment. Key Responsibilities: • Design, develop, and maintain applications using Scala, Python, Hadoop and Java., • Work with Big Data technologies, including Spark, Hive (nice to have)., • Collaborate with cross-functional teams to deliver scalable, high-performance solutions., • Participate in code reviews, testing, and performance optimization., • 8–12 years of software development experience., • Strong hands-on expertise in Scala (mandatory), plus Python and Java., • Experience with Big Data frameworks; Apache Spark experience is an advantage., • Solid understanding of software engineering principles, data structures, and algorithms. 1. Bachelor’s degree in computer science, Maths, IT, statistics or physics related field., 2. You should be entitled to work in the UK with legal work authorization status., 3. Must be willing to travel within the UK as per project/client requirements., 4. Excellent communication skills and teamwork skills.

CUDA/GPU Systems Engineer (ML Infra) Remote We’re partnering with a well-funded AI company building advanced multi-agent systems. They’re looking for engineers with experience working close to the GPU layer. This is a CUDA-heavy role focused on improving the performance of large-scale machine learning systems. You’ll be solving problems like: • Optimising CUDA kernels for ML workloads, • Improving GPU utilisation and memory efficiency, • Profiling and debugging GPU bottlenecks, • Accelerating training and inference pipelines, • Working alongside ML researchers building multi-agent AI systems Essentials: • Strong CUDA / GPU programming experience, • Experience writing or optimising CUDA kernels, • Strong C++ and/or Python, • Experience working with machine learning systems, • Experience could come from LLMs, computer vision, speech, recommendation systems, or other ML domains. Nice to have: • PyTorch / TensorFlow internals, • Distributed training (NCCL, DeepSpeed, Megatron, Horovod, etc), • GPU performance engineering or HPC background

📍 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!

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

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.

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 a Lead 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 Lead AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (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., • Strong stakeholder management skills, with the ability to communicate complex AI concepts clearly to technical and non-technical audiences, including senior leadership., • Proven ability to provide technical leadership across AI initiatives., • Demonstrated experience leading and mentoring a small team while remaining hands-on in design and coding. Desirable 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.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

Software Engineer AI and Data, Permanent. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering.

I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data

Frontend Engineer (React / TypeScript) Remote – Europe (CET preferred) We are working with a fast-growing European AI startup that is transforming how global fashion brands create visual content. Their platform uses AI to generate high-quality product imagery and creative assets, replacing traditional, expensive photography workflows. Major fashion brands are already using the platform to accelerate product launches, reduce production costs, and scale creative output. The company is backed by leading venture capital investors and is preparing for its next major growth phase following strong enterprise adoption. This is a fully remote role where you will be building and shipping the core product used by customers every day. The Role As a Frontend Engineer, you will design and build high-quality user-facing features that power the company’s core AI product. You’ll work closely with product managers, designers, and backend engineers to translate product requirements and design concepts into scalable, production-ready frontend systems. This role is ideal for engineers who enjoy working in fast-moving startup environments and want to contribute directly to a product that generates real business value. What You’ll Be Doing • Designing and building scalable frontend applications using React, JavaScript, and TypeScript, • Developing high-quality, reusable UI components, • Collaborating closely with UI/UX designers to deliver pixel-perfect user experiences, • Integrating frontend systems with API-driven architectures (GraphQL / REST), • Writing clean, maintainable, well-tested code, • Contributing to technical discussions and architecture decisions, • Debugging and resolving issues across browsers and devices, • Continuously improving frontend performance and usability, • Leveraging modern tooling and AI-assisted development to improve productivity What We’re Looking For • 3+ years of professional frontend engineering experience, • Strong experience with React, JavaScript, and TypeScript, • Experience building and shipping production software used by real customers, • Strong understanding of API integration (REST or GraphQL), • Experience working with modern development workflows (Git, CI/CD, testing frameworks), • A strong eye for UX detail and frontend quality, • Ability to work autonomously in a fully remote, high-trust environment Nice to Have • Experience working in high-growth startups, • Exposure to AI tools or AI-powered products, • Experience with Python or collaborating closely with backend teams, • Experience building design systems or shared UI component libraries Why This Role • Work on the core revenue-generating product used by global fashion brands, • Join a high-growth AI company already working with enterprise customers, • Work in a fully remote, autonomous engineering culture, • Help scale a product that is reshaping how digital fashion content is produced, • Be part of a team building cutting-edge technology in a rapidly evolving industry

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

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

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.

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).

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.

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: .

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

Software Engineer Salary: circa £50k Location: Remote (UK-based with occasional team meetings) The Opportunity: Engineering for National Security Our client’s mission is to build and deliver secure, scalable collaboration solutions for the most security-conscious organisations in the UK. This is an environment where you can transform your individual talents into strengths within a creative, innovation-driven culture. Why This Role is Different This is not a place for rigid process followers. Our client actively embraces AI-augmented development, leveraging groundbreaking tools like Claude Code, GitHub Copilot, and Cursor to amplify engineering capabilities. You will be encouraged to use these tools effectively while maintaining strong engineering fundamentals and critical thinking. What You Will Be Doing • Design and Develop: Architect reliable and secure software systems using modern technologies like TypeScript, React, Next.js, Python, or Java., • Innovate with AI: Experiment with and evaluate new AI-powered development tools and practices, sharing those learnings with the wider team., • Collaborate Remotely: Engage with a distributed team through video, chat, and asynchronous documentation, valuing clarity and honesty in communication., • End-to-End Ownership: Take responsibility for software systems from initial conception and MVP through to live operation and decommissioning. What We Are Looking For • Technical Breadth: Experience with cloud platforms (AWS or GCP preferred) and containerisation tools such as Docker or Kubernetes., • Security Mindset: A security-conscious approach with an understanding of secure coding practices and how decisions impact security posture., • Professional Standards: A well-formatted CV that demonstrates your attention to detail and a career history focused on the IT sector., • Clearance Requirements: You must hold a British passport. While previous SC or DV clearance is a significant advantage, we simply need you to be clearable. Benefits and Culture • Flexible Working: A remote-first culture that has been distributed from the start, supporting different communication and collaboration preferences., • Continuous Learning: Dedicated time for experimentation, structured learning, and mentorship to help you master new approaches and technologies., • Inclusive Environment: A commitment to diverse thinking styles, offering reasonable accommodations throughout the application and employment process. If you’re a Software Engineer looking to do work with real impact, we’d love to tell you more. Click apply or reach out to for more information.

Site Reliability Engineer (Security Cleared) • Salary to £60k + Company Options Scheme Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. Youll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. Youll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC JBRP1_UKTJ

Job Title: Databricks Architect Location: UK/Europe - Remote Engagement Type: Contract (Outside IR35) Role Overview We are seeking a Senior Databricks Architect with 15+ years of experience in Data Engineering/Analytics to design and deliver scalable, secure, and cost-efficient data solutions on AWS. This is a leadership role requiring strong hands-on expertise, proactive risk management, and excellent stakeholder communication skills. Key Responsibilities • Architect and implement data solutions using Databricks on AWS, PySpark, and Python, • Lead cloud migration initiatives, including on-prem to AWS migrations, • Drive GenAI-enabled automation for data asset migration, • Develop scalable data models and deliver actionable business insights, • Design and optimize ETL pipelines (Informatica or similar tools), • Build and deploy PySpark applications for large-scale data processing, • Work on LLM pretraining, fine-tuning, augmentation, and optimization, • Ensure high data quality through cleaning, transformation, and validation (Python/SQL), • Automate data workflows to enhance scalability and efficiency, • Maintain clear technical documentation and best practices Required Experience • 15+ years in Data Analyst/Data Engineer/Data Architect roles, • Strong expertise in Databricks on AWS, • Advanced Python (Pandas, Scikit-learn) and SQL skills, • Proven experience in large-scale cloud data migrations, • Hands-on experience with LLMs and GenAI-based automation, • Strong experience designing secure, high-performance data architectures Key Competencies • Proactive risk & issue management, • Strong requirement clarification and stakeholder engagement skills, • Excellent communication – able to translate technical insights into business value, • Critical thinker with strong problem-solving capabilities, • Self-driven, autonomous, and collaborative approach

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • 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're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!