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Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

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

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.

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)

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.

Role: Azure DevOps Engineer - OUTSIDE IR35 Valid SC Clearance required Travel: 2 days a week on-site in Milton Keynes OUTSIDE IR35 We are seeking a skilled Azure DevOps Engineer with strong experience in Microsoft Azure, Power Platform, and Power BI to design, implement, and optimize CI/CD pipelines, cloud infrastructure, and data solutions. The ideal candidate will bridge development, operations, and business intelligence teams to deliver scalable, secure, and automated solutions across the Microsoft ecosystem. Requirements: • 3+ years of experience with Azure DevOps and CI/CD pipeline implementation., • Hands-on experience with Microsoft Azure services (App Services, Azure Functions, Storage, Key Vault, etc.)., • Strong experience with Power Platform (Power Apps, Power Automate, environment management)., • Experience deploying and managing Power BI solutions, including data modeling and workspace governance. Key Responsibilities: • Design and maintain CI/CD pipelines using Azure DevOps for cloud and Power Platform solutions., • Deploy and manage infrastructure in Microsoft Azure using Infrastructure as Code (ARM, Bicep, or Terraform)., • Implement governance, security, and lifecycle management for Power Platform environments., • Support development and deployment of Power Apps, Power Automate flows, and integrations., • Manage Power BI workspaces, datasets, deployment pipelines, and data refresh strategies., • Monitor system performance, ensure reliability, and optimize cloud costs., • Collaborate with developers, data engineers, and business stakeholders to deliver high-quality solutions., • Maintain documentation, standards, and best practices for DevOps and BI processes.

Full Stack Software Engineer - TypeScript / React / Postgres / AWS / Terraform / DevOps We are looking for a number of highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You will play a central role in building and scaling their proprietary platform transforming factory operations in aerospace, energy, and other critical industries. The company is focused on speeding up manufacturing for the scale-up companies shaping the future, from rockets and drones to satellites and nuclear energy. Currently running four small-to-medium software-driven factories across the UK and US, they are on track to expand to 25 factories by the end of 2026. This is a hands-on, high-autonomy role for a generalist developer who thrives on real-world impact and has a strong sense of ownership. Applicants with frontend or UX experience are particularly welcome. Bonus points for experience as a founder, founding engineer, or working in aerospace and defense. What you’ll do: • Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience., • Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring., • Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations., • Deploy and iterate software rapidly on-site, integrating directly with production processes., • Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments., • Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for • 2–5 years of full-stack software development experience, exceptions made for exceptional talent., • Strong programming skills, ideally in TypeScript and React, with experience in Postgres, AWS, Terraform, and DevOps., • Ability to work independently in a high-autonomy environment., • Experience translating operational challenges into impactful software solutions., • Bonus: prior experience in startups, aerospace, defense, or as a founding engineer. What they offer • Full-time, on-site role in London (five days per week)., • Competitive base salary plus equity (typically ~0.5% for engineers with a few years’ experience, potentially >1% for exceptional candidates), • Opportunity to work on software that directly accelerates industrial operations in high-stakes environments., • Visa sponsorship available for eligible candidates. This is an opportunity to shape the software backbone of a company bringing manufacturing into the future, working closely with a small, experienced team with backgrounds in military, government, enterprise, and exited tech ventures. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Role : Senior Full Stack JavaScript Engineer Location: Abu Dhabi (Full relocation covered if outside UAE) We are seeking a talented Full Stack JavaScript Developer with solid expertise in React, Node.js, WebSockets, and Kubernetes to join our dynamic team. In this role, you will design, develop, and deploy scalable applications, focusing on real-time features, high-performance frontends, and robust backend services. If you have a passion for building enterprise-level solutions with modern technologies, we want to hear from you! Key Responsibilities • Design and develop scalable backend services and microservices using Node.js, • Build high-performance, responsive user interfaces with React and TypeScript, • Implement real-time features using WebSockets (live updates, notifications, streaming), • Integrate and optimize Elasticsearch for advanced search, indexing, aggregation, and data retrieval in large-scale systems, • Deploy and manage containerized applications using Docker and Kubernetes in production, • Integrate CI/CD pipelines for automated testing and deployment of JavaScript codebases, • Work with large file/object storage (e.g., AWS S3 or equivalent), • Collaborate on end-to-end solutions for AI-driven analytics products Core Requirements (Must-Have) • 6+ years of consistent full-stack JavaScript development experience, • 5+ years hands-on with Node.js building scalable APIs, microservices, and event-driven systems, • 5+ years hands-on with React (TypeScript strongly preferred) building complex, responsive frontends, • 3+ years hands-on with WebSockets for real-time features in production applications, • 3+ years hands-on with Elasticsearch (index design, querying, aggregation, performance tuning, integration with Node.js), • Strong production experience with Docker and Kubernetes, • Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.), • Familiarity with AWS S3 or equivalent object storage for large files, • Solid understanding of authentication (JWT, OAuth2), • Working knowledge of message queues (Kafka, RabbitMQ, Redis Streams, etc.), • Proven ability to design APIs and distributed systems in JavaScript ecosystems, • Experience with Next.js or similar React frameworks, • Monitoring & observability in JavaScript services (Prometheus, Grafana, OpenTelemetry), • Dynamic report generation or PDF rendering in JavaScript applications, • Exposure to WebGL or browser-based graphic rendering, • Agile/Scrum experience in high-velocity teams, • Previous work in big data, AI/analytics, or real-time platforms

Full-Stack Engineer (TypeScript/Node/React) Location: Remote Company: High-Growth HealthTech Startup The Opportunity After hitting some recent significant product milestones, my client are looking to expand their engineering team to match their business trajectory. You will be joining at a pivotal moment, working directly with the CTO and small team to bridge the gap between ambitious product roadmaps and high-quality technical execution. The Tech Stack • Frontend: React.js, Tailwind CSS, • Backend: Node.js, • Language: TypeScript, • Build & Scale: Develop new features from discovery to deployment, ensuring our platform can handle rapid user acquisition., • Strategic Collaboration: Work closely with the team to translate business goals into scalable technical solutions., • Code Excellence: Maintain high standards through code reviews, automated testing, and mentoring as the team grows., • Product Ownership: Take a seat at the table during product discussions, be a valued engineer who thinks about the "why," not just the "how." If you are interested in this opportunity please apply for a confidential chat!

Job Title: Principal DevOps Engineer II Industry: FinTech / Payments Technology Location: United Kingdom (Fully Remote) Salary: Up to £125,000 base + 9% bonus Type: Permanent, Full-time A rapidly growing global payments technology organisation is looking for a Principal DevOps Engineer II to help define and scale its enterprise DevOps platform. This is a senior technical leadership role focused on architecting and evolving the engineering delivery platform that supports both cloud and on-premise environments. You’ll work closely with engineering leadership, security teams, and developers to design scalable CI/CD architecture, improve developer experience, and implement platform standards across the organisation. This role offers the opportunity to make a significant impact by driving automation, improving delivery performance, and shaping DevOps culture across a modern engineering environment. The Role: • Define and own the architecture of the organisation’s engineering delivery platform, covering CI/CD pipelines, artifact management, secrets management, and infrastructure provisioning., • Lead the migration and implementation of GitHub Enterprise and GitHub Actions, building reusable workflow frameworks and enforcing automated security and quality gates., • Architect and manage secrets and credential management strategies using HashiCorp Vault., • Develop and manage artifact repository strategies, including promotion pipelines, vulnerability scanning integration, and multi-language ecosystem support., • Drive Infrastructure as Code adoption using Terraform and configuration management through Ansible to enable fully automated environments., • Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments., • Manage Cloudflare infrastructure including DNS lifecycle automation, WAF rules, and Zero Trust access policies., • Improve developer experience by building standardised pipeline frameworks that accelerate service delivery and reduce time-to-production., • Champion self-service and inner-source practices, creating shared tooling, documentation, and pipeline libraries for engineering teams., • Implement delivery metrics and dashboards to monitor deployment frequency, lead time for changes, and platform performance., • Provide technical leadership across engineering teams, identifying systemic delivery challenges and implementing scalable solutions., • Mentor senior engineers and contribute to raising DevOps standards through technical design reviews, documentation, and knowledge sharing. Skills Needed: • 12+ years of hands-on technical experience with strong foundations in software engineering and DevOps practices., • Proven experience delivering organisation-wide platform initiatives such as CI/CD architecture redesigns or DevOps platform migrations., • Strong coding ability in a statically typed language such as C# or Java., • Expert experience with GitHub and GitHub Actions including reusable workflows and automated pipeline frameworks., • Advanced Terraform expertise including module design, remote state management, and infrastructure policy enforcement., • Strong experience with configuration management tools such as Ansible., • Strong experience with HashiCorp Vault for secrets management and security integration., • Deep containerisation expertise using Docker and modern image optimisation practices., • Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems., • Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments., • Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security., • Excellent communication and technical leadership skills. Benefits • Fully remote working (UK-based), • 5 days paid holiday plus bank holidays, • £5,000 annual certification and professional development budget, • £60 per month work-from-home allowance, • Private healthcare, • Additional benefits and performance-based incentives Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

About the Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. About the Role The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring-up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early-phase board design and integration., • Ensure designs and deliverables comply with DO-254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low-complexity designs. Qualifications • Bachelor’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Required Skills • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL-D)., • Awareness of DO-254 or similar hardware certification standards is an advantage.

📍 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!

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

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

Applied AI Engineer About the Company My client is a fast-growing B2B marketing technology company revolutionising how enterprise teams engage and convert key buyers. Their platform enables hyper-personalised, multi-channel campaigns at scale — empowering marketing and sales teams to identify high-intent accounts, generate tailored content, and execute strategic plays. They are building AI-first features to make this seamless and intelligent, from content generation to account strategy recommendations. The Role My client is seeking a senior Applied AI Engineer to lead the development and deployment of novel applications leveraging modern generative AI models. In this role, you will take the lead in bringing LLM-powered product features to life — building intelligent agents and AI-powered platform capabilities that help marketers drive growth. You'll work closely with product and design teams to prototype, ship, and iterate quickly on AI capabilities. This is not a role focused on training models from scratch. My client needs an experienced builder who can apply LLMs, APIs, and orchestration frameworks to solve customer problems, build valuable product features, and help shape the AI roadmap. The Team You'll join the core product engineering team, working in a fast-moving, collaborative environment where ownership is everything. Everyone contributes to product decisions — from technical tradeoffs to feature planning. Key Responsibilities • Build and orchestrate LLM-based agents that plan and execute complex workflows, manage engineering data, and craft custom tools., • Build workflow infrastructure using Mastra, Vercel AI SDK, or similar TypeScript-based agent frameworks., • Design agent evaluation strategies using real-world execution data and human-in-the-loop signals., • Integrate LLM APIs (OpenAI, Anthropic, Hugging Face, etc.) into product workflows and backend services written in TypeScript and Golang., • Prototype and ship AI-powered product capabilities across the platform — from content generation to account intelligence and campaign automation., • Design and implement RAG pipelines using vector databases like Qdrant or Weaviate for contextual awareness and retrieval., • Build robust backend services in TypeScript to serve AI-driven features, including streaming, tool use, and human-in-the-loop workflows., • Work closely with GTM teams to understand strategic use cases and translate them into intelligent product functionality., • Continuously explore and evaluate emerging LLM tools, techniques, and architectures., • Contribute to UX thinking for how AI capabilities are surfaced in the platform. About You • 5+ years in software engineering., • 1–3 years of experience in AI/ML or LLM-based development in a fast-paced startup environment., • Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows., • Hands-on experience with Mastra, LangChain, LangGraph, Vercel AI SDK, or similar agent orchestration tools., • Strong understanding of LLM evaluation, prompt design, and domain-specific model tuning techniques., • Deep understanding of large language models beyond basic API usage, including KV caching, tool integration, and sampling strategies (temperature, top-k, top-p)., • A first-principles mindset and enthusiasm for architecting core AI systems from scratch., • Full-stack capability — able to own a feature end-to-end, from API to infrastructure to evaluation. You don't need to meet 100% of the above. More than anything, my client values hunger, passion for this problem space, and a strong track record of achievement. What's on Offer • Competitive salary & equity, • 25 days holiday + local public holidays, • Top-spec Apple hardware & remote-friendly setup budget, • London office (Shoreditch) with access to a private gym, • Team offsites twice a year, • Enhanced parental leave, • Regular team socials Tech Stack • AI Backend: TypeScript, Mastra, Vercel AI SDK, • Model Integration: Anthropic (Claude), Google Gemini, OpenAI, Perplexity, • Agent Development: Multi-agent orchestration, structured outputs, tool use, streaming, human-in-the-loop workflows, • Cloud: AWS, BigQuery

VCF Consultant - SC Cleared Location: Hybrid - a couple of days per month in the Midlands Duration: 3 Months Start: Immediate Rate: Inside IR35 - £850 per day Job Description We are seeking an experienced SC Cleared VCF Consultant with strong expertise in VMware Cloud Foundation (VCF9) and NSX. The successful candidate will support a VCF9 greenfield engagement, working closely with the Lead Architect, customer and key suppliers to deliver and implement the agreed design. This role is focused on hands-on deployment, implementation support and technical consultancy across the full lifecycle of the VCF9 platform. Key Responsibilities • Support the delivery of VCF9 greenfield deployments, implementing and configuring the platform in line with agreed designs., • Contribute to design and requirements workshops, providing practical input from a deployment and delivery perspective., • Produce and maintain deployment documentation and workbooks, including build guides, configuration steps and as-built documentation., • Carry out installation, configuration and validation of VCF9 components, including NSX, ensuring alignment with standards and best practice., • Troubleshoot and resolve technical issues across VCF and NSX components during deployment and early life support., • Collaborate with architects, engineers and third-party suppliers to ensure smooth and coordinated delivery., • Active SC Clearance., • Proven experience delivering VCF deployments in a consultant or engineer capacity., • Strong hands-on experience with VCF9 and NSX., • Good understanding of VMware Cloud Foundation architecture and supporting technologies., • Experience working in customer-facing environments alongside multiple stakeholders and suppliers., • Strong troubleshooting and problem-solving skills., • Effective communication skills with the ability to explain technical concepts clearly., • VMware certifications such as VCP or VCAP., • Experience supporting large-scale cloud or infrastructure transformation programmes. JBRP1_UKTJ

Senior 3D Mapping Engineer (Large-Scale 3D/HD Mapping) - First Key Hire Circa £80k+, London based An opportunity to take ownership of the mapping capability inside an advanced autonomy start up building real-world robotic systems. This role sits at the heart of the autonomy stack. The focus is the creation of high-accuracy, reusable 3D / HD maps that support reliable deployment across complex environments. As the first dedicated mapping hire, responsibility sits with you to evolve the mapping architecture, deepen the mathematical foundations behind it, and ensure the maps produced are stable, scalable and production ready. Working closely with perception, localisation and navigation engineers, the goal is to turn raw multi-sensor data into precise, reusable map products that can be versioned, updated and deployed across fleets. Over time, this role will naturally grow into leading and building the mapping team. What you'll be doing • Designing and evolving scalable LiDAR and vision-based mapping pipelines., • Creating high-fidelity 3D / HD maps suitable for repeated autonomous deployments., • Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models., • Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency., • Leading multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry., • Developing large-scale capabilities including multi-session mapping, map versioning, delta updates and fleet workflows., • Ensuring tight coupling between mapping, SLAM and localisation to guarantee drift-free operation., • Defining accuracy, consistency and validation frameworks for deployed maps. Experience required • MSc or PhD in Robotics, Computer Vision, Computer Science, Mathematics or a related field., • 4-5+ years building mapping systems for robotics or autonomous platforms operating in real-world environments., • Proven experience creating high-accuracy 3D / HD maps designed for reuse across deployments, not just one-off mapping or research prototypes., • Strong understanding of the mathematical foundations behind mapping, including pose graphs, factor graphs, bundle adjustment and probabilistic estimation., • Deep experience working with LiDAR and large-scale point cloud processing (PCL, Open3D or similar)., • Experience combining multiple sensor sources such as LiDAR, cameras, GNSS/INS and odometry to generate globally consistent maps., • Strong C++ development with experience working in ROS2-based autonomy stacks., • Solid grounding in geometry, coordinate frames, kinematics and transformation systems. Why join You'll own a mission-critical capability inside a company deploying autonomy in the real world, shaping the mapping stack, influencing the wider autonomy architecture and building the team that will take it forward. An opportunity to define how mapping works in a real-world autonomy platform from the ground up. JBRP1_UKTJ

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

Robotics Software Engineer – Contract – Onsite London We are supporting an innovative engineering organisation developing advanced robotics systems within a real-world manufacturing environment. This is an opportunity to join a highly skilled team at a critical stage, helping prepare an existing system for deployment. This is a hands-on role focused on improving system reliability, developing new features, and ensuring performance in real-world conditions. You’ll work across the software stack alongside mechanical and software engineers, contributing wherever priorities require. Skills & Experience: Essential: • Commercial experience in robotics software development, • Strong programming skills in Python and/or C++, • Experience working with physical robotic systems (not purely simulation), • Experience working within existing codebases and complex systems, • Strong problem-solving skills and ability to manage edge cases, • Ability to contribute quickly with minimal onboarding, • Comfortable working onsite full-time Desirable: • Experience with ROS / ROS2, • PLC programming, • ABB robotics, • Computer vision in robotics (calibration, integration), • Experience with embedded systems (e.g. Jetson), • NVIDIA robotics stack / Isaac Sim, • Linux systems (Docker, networking, device drivers) Additional Information: • Location: London (Hybrid/on-site preferred), • Competitive rate, dependent on experience

Site Reliability Engineer (Security Cleared) Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. • 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). xrnqpay 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

Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job DescriptionWe are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference pipelines using AWS SageMaker. Deploy and optimise low-latency, real-time inference endpoints. Implement feature drift and concept drift monitoring. Apply procedures for data handling, encryption, PII minimisation, and auditability. Conduct validation of models using golden datasets and baseline tests.Essential Skills Strong experience delivering production-grade ML systems. Proficiency with AWS S...

A forward-deployed pre-sales engineer who partners with the strategy and sales teams to design, build, and present AI-powered proof of concepts for clients. You will own the full technical arc of each POC — from brief to build to client demo — and establish a reusable, scalable framework that compounds in value with every engagement. Who are they? They are looking for a Pre-Sales Engineer to be their forward-deployed technical force in the sales cycle. This is a hands-on, client-facing role: you will rapidly design and build proof of concepts that demonstrate what is possible with AI, and you will be the technical voice in the room when clients need to see it to believe it. You will report directly to the CTO and work closely with strategy and sales teams across every stage of the pre-sales journey. What you'll deliver 1. Build proof of concepts that win clients • Take a brief from the strategy team and independently design, architect, and build a working POC within a 3–4 week sprint., • Translate real client problems (surfaced through Launchpad engagements) into credible, demonstrable AI-powered solutions., • Ensure every POC communicates the &above point of view: what we believe, what we can do, and what the solution could become., • Maintain a high output velocity using AI-assisted development tooling — you are the 10× engineer. 2. Own the client-facing technical narrative • Prepare and support all technical resources for sales calls: demos, slide narratives, technical Q&A docs, and deep-dive presentations., • Join first calls, technical discovery sessions, and demo calls to provide credible technical support to the salesperson., • Translate complex AI and engineering concepts into clear commercial language for Product, Marketing, and Sales VP stakeholders., • Build confidence in the client that &above can deliver — not just pitch. 3. Create a scalable, reusable POC framework • After each engagement, produce a clean handover: a client-facing presentation of what was built, what shortcuts were taken, and what hardening would be required for production., • Maintain and evolve a library of reusable repo templates, demo environments, and slide narratives so each POC builds on the last., • Document technical shortcuts explicitly so they can be tracked and addressed in future delivery phases., • Define and refine the repeatable process for scoping, building, and presenting a POC. 4. Stay at the frontier of AI and shape our offering • Maintain a close watch on the AI landscape: new models, tools, frameworks, and use cases., • Proactively suggest new POC formats, tooling improvements, and solution patterns that keep &above ahead of the market., • Feed insights back into the strategy and sales teams to sharpen how we position our capabilities. 5. Be a reliable, autonomous operator • Manage your own time and priorities across concurrent POC sprints with minimal overhead., • Report clearly and consistently to the CTO on progress, blockers, and decisions throughout the week., • Operate with the decisiveness and resourcefulness of a founder — you are comfortable with ambiguity and move fast. What we're looking for Must have • Senior or lead-level engineering experience, with a proven track record of shipping production-quality work independently., • Full-stack capability: strong React / TypeScript frontend fundamentals with solid backend experience (language is not a constraint)., • Practical, hands-on knowledge of AI application development: LLMs, RAG architectures, AI agents, and evaluation approaches., • Excellent client-facing communication skills — comfortable in a room with VP-level stakeholders, able to translate technical depth into commercial clarity., • A 50/50 builder-communicator profile: no trade-off between engineering quality and presentation quality., • Demonstrable ability to ship fast and make pragmatic architectural decisions under time pressure., • Comfortable working solo, managing time independently, and operating with minimal direction. Nice to have • Previous founder experience, or a background operating as a one-person engineering function., • Experience in a product studio, agency, or consultancy working across multiple clients and problem domains., • Familiarity with a broad range of AI tooling, model providers, and deployment approaches., • Experience building and presenting technical demos to non-technical enterprise audiences., • Contribution to sales processes, technical proposals, or RFP responses. Why join them? This is a rare role for someone who wants to operate at the intersection of deep technical craft and commercial impact. As Pre-Sales Engineer, you will: • Have direct influence over how &above wins new business and demonstrates what AI can do., • Work on a genuinely diverse range of problems across industries, use cases, and technologies., • Build a compounding library of POCs and frameworks that define how the studio scales., • Report directly to the CTO with high visibility and real autonomy from day one. This is a permanent role with the full &above benefits, including: • 32 days' holiday (including bank holidays)., • 8-weeks working-away allowance each year., • Birthday off., • Health and wellbeing budget including Vitality private healthcare and WellHub unlimited gym access and wellbeing apps., • Cycle-to-work scheme and quarterly team socials., • Quarterly OKRs and bonus opportunities, with monthly check-ins to support your growth., • A genuinely supportive culture in an innovative and inspiring workspace.

GEN AI Engineer/ Generative Artificial Intelligence Engineer Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, is needed for a hybrid 8-12 month contract paying £500 - £550 per day inside IR35, (2-3 days in the office) This includes core Python development using OOPs concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. As a Senior Lead Analyst, you will: Anchor the engagement effort from business process consulting and problem definition to solution design, development, and deployment. Lead the discovery and definition of AI/ML solutions and guide teams on project processes and deliverables. Act as a thought leader in your domain, advising on architecture and design reviews.

VMware Specialist Engineer Experis London Area, United Kingdom (On-site) VMware Specialist Engineers Contract - £659 p/d (Umbrella) - Immediate Start Role Title: VMware Specialist Engineer Location: Central London Start Date: 10 March 2026 End Date: 10 September 2026 CV Requirement: Candidates must explicitly reference required VMware tools and project usage. Overview An urgent requirement exists for an Expert?level VMware Specialist Engineer to support multiple infrastructure and cloud engineering projects. The successful candidate will have strong hands?on experience with VMware Cloud Foundation (VCF) and must bring deep subject?matter expertise in specialist VMware technologies. Candidates must offer proven experience with at least one of the following: vRealize Network Insight (VRNI) VMware Site Recovery Manager (SRM) VMware HCX Key Responsibilities VMware Engineering & Deployment Deliver senior?level engineering support across VMware Cloud Foundation (VCF) 5 environments. Deploy VMware solutions as part of a technical engineering team delivering large?scale infrastructure projects. Design, implement and customise VCF deployments to maximise platform features. Support upgrade activity, including migrations to VCF 9.Automation & Tooling Contribute to automation initiatives using: PowerShell Python JavaScript Support the development of automation artefacts that enhance platform performance...

Founding Engineer (Python, LLMs, TypeScript) Salary up to £250k + Equity London based onsite Build the Future of AI Voice Top VC backed Series A Startup, building AI voice agents that transform how trades businesses operate, from handling customer interactions to streamlining operations at scale. As a founding engineer, you won't just ship features; you'll shape the product, define the architecture, and play a key role in how AI interacts with real-world customers every day. Roles like this are rare: high ownership, direct customer impact, and the chance to build something foundational from the ground up, a hallmark of early-stage AI startup. 💡 What You'll Do • Build and ship core product features across a modern stack (Python, TypeScript, cloud, event-driven systems), • Own problems end-to-end from customer discovery through to production deployment, • Work directly with users to turn messy, real-world workflows into elegant AI-powered solutions, • Balance speed vs scalability, knowing when to prototype and when to harden systems, • 5-10 ...

Senior Software Engineer – Fit-Tech SaaS | Up to £80,000 | UK Remote AWS Cloud | TypeScript | React | Serverless Architecture | HealthTech Recann is partnering with an innovative SaaS organisation in the health and wellness sector that is building a next-generation digital platform to support practitioners and clients across the UK and internationally. Backed by an experienced leadership team with a strong track record of scaling technology businesses, the company is investing heavily in modern cloud infrastructure and engineering practices to support rapid growth. This is an exciting opportunity for a Senior Software Engineer to join a growing engineering team and play a key role in designing, building and scaling a modern cloud-native platform. The role offers the opportunity to work across the full technology stack, contributing to architecture decisions, developing scalable services, and helping shape engineering best practices within a collaborative team. The Role As a Senior Software Engineer, you will work closely with engineering leadership and product teams to build and evolve a scalable SaaS platform supporting international growth. You will contribute to backend services, APIs, and frontend components while helping ensure the platform remains reliable, secure and performant as usage grows. The team embraces modern development tooling and AI-assisted engineering workflows to accelerate development and maintain high quality standards. Key Responsibilities • Design, build and maintain scalable backend services and APIs using TypeScript and modern Node.js frameworks., • Contribute to the development of cloud-native infrastructure on AWS, using services such as Lambda, DynamoDB, EventBridge, ECS and Fargate., • Develop user-facing features using modern frontend frameworks such as React., • Build and maintain integrations with external services including payment platforms such as Stripe and other third-party APIs., • Work with event-driven architectures to build reliable and scalable distributed systems., • Support international platform capabilities including localisation, multi-region deployments and scalable payment processing., • Contribute to CI/CD pipelines using GitHub Actions, ensuring reliable automated testing and deployment processes., • Maintain high standards of code quality using tools such as SonarCloud, automated testing and code reviews., • Implement infrastructure-as-code practices using AWS CDK to ensure repeatable and maintainable cloud deployments., • Monitor system performance and reliability using observability tools such as AWS CloudWatch and distributed tracing solutions., • Collaborate with engineers, product managers and designers to deliver high-quality product features. About You • Strong commercial experience building modern applications using TypeScript and JavaScript frameworks., • Experience working with AWS cloud services and cloud-native application architectures., • Experience developing RESTful APIs and scalable backend systems., • Familiarity with event-driven architecture and distributed systems., • Experience working with CI/CD pipelines and automated testing frameworks., • Knowledge of infrastructure-as-code tools such as AWS CDK or Terraform., • Experience integrating with third-party APIs and services., • Strong problem-solving ability and a collaborative approach to engineering. Desirable Experience • Experience working with React or modern frontend frameworks., • Experience integrating payment systems such as Stripe., • Familiarity with containerisation technologies such as Docker and AWS ECS., • Experience building SaaS platforms supporting international users., • Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT. What’s on Offer • Salary up to £80,000 per annum, depending on skills and experience., • Fully remote working within the UK with occasional in-person meetups in London., • Opportunity to work on a modern cloud-native platform supporting rapid international growth., • Access to health and wellness services., • Vitality Health insurance., • Perkbox benefits platform., • Wellness credits and practitioner services., • 25 days annual leave, increasing by one day per year of service up to 30 days., • Additional birthday leave. Important Information • This vacancy is advertised by Recann, acting as an employment agency on behalf of its client., • The identity of the hiring organisation will be disclosed during the recruitment process., • Recann does not charge work seekers any fees for its recruitment services., • Candidate data will be processed in accordance with UK data protection legislation., • Further role information, including duties, reporting line, and working arrangements, will be provided prior to formal candidate submission.

Field Service Manager (Engineering) Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. £52,000 - £58,000 + Profit Related Bonus + Company Vehicle + Enhanced Pension + Death in Service + 25 days holiday + Free Parking + Training & Development Borehamwood Are you a field service engineer with an industrial plant, process equipment or mechanical systems background with experience in team management, seeking an exciting new opportunity where you will play an essential role with a historic global leader in its field? This role offers autonomy, where you will work with the Company's Technical Services Engineers, Contracts Engineers, and Field Sales Engineers, and interact with colleagues at the production facilities. This company has been established for over a century, has several patented world firsts to its name, and is a leading international player in the energy transition, as well as a world leader in the thermal energy sector, producing industrial boilers and burners. This is a senior operational role responsible for the effective management, deployment and performance of a national field engineering team, supporting a large and growing installed base of industrial steam and thermal process equipment across the UK. The Role: • Leading and managing the UK Service Engineer team of 16 people, • Ensuring effective deployment of engineers based on skills, availability and customer requirements, • Monitoring operational performance, engineer utilisation and service delivery standards ensuring timely and accurate completion of service reports and work orders, • Supporting technical problem-solving and escalation on complex service issues, • Managing engineer performance, development and training requirements, • Supporting customer relationships and responding to service-related queries or concerns, • Experience in field service management or senior engineering supervision

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

About the job Job summary DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps Pipelines (including for Microsoft Dynamics 365 pipelines), scripting, Azure, Terraform, Microsoft Power Automate Cloud flows (training provided where there are specific skill gaps) Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office Job description Main duties consist of but are not limited to: • Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices., • Working on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production., • Act as the DevOps engineer for Releases and troubleshooting of issues, with support from other engineers., • Providing administration, configuration and troubleshooting support for CI & CD pipelines and hosted container applications., • Working on delivery, integration, administration and configuration of DevOps tools. This includes tools for source control, build, CI & CD, code reviews, security scans, configuration automation, test automation, artefact management, monitoring and alerting., • Conducting reviews and quality checks for newly delivered code and be an advocate for security and performance standards in the organisation., • Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies., • Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning and user stories., • Attending Team and Agile Scrum ceremonies., • Understanding of DevOps principles and experience of working in a DevOps or iterative development culture., • Demonstrable experience of using continuous integration (CI) and continuous deployment (CD) tools, including pipeline implementation., • Awareness of automated testing and embedding this in CI/CD pipelines., • Strong troubleshooting and problem solving skills with experience in service support., • Substantial development or scripting experience in one or more of the following:, • Python, • Bash, • PowerShell, • Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools., • Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent:, • Python, • .Net Core / C#, • NextJs / Node frontend, • Experience with Infrastructure as Code such as Terraform, • Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent., • Experience in managing and supporting distributed source code repositories (Git)., • Upload an anonymised copy of your current CV. Please remove all identifying markers such as name, title, education institution etc., • Working Together, • Developing Self and Others, • Unlimited Pluralsight video learning access, • Access to Microsoft's ESI training suite, • Hybrid working with no core hours, • Substantial support for career progression, • 25 days annual leave moving to 30 days in annual increments, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

This is an excellent opportunity for an experienced cloud engineer who thrives in a collaborative, fast-moving environment and is passionate about automation, optimisation and best practice engineering. You will be responsible for building and managing Azure cloud environments, automating deployment

Forward Deployed Engineer Generative AI / LLM Deployment. GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing. We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

Forward Deployment Engineer UK (Hybrid).We are hiring Forward Deployment Engineers to deliver and deploy cutting-edge technology solutions for our clients.You will work directly with customers, implement systems, troubleshoot issues, and ensure solutions work in real-world environments.Deploy and c

In this role, you’ll focus on the deployment and delivery of security solutions for a wide range of clients, while also supporting cyber assessments and audit activities. The Role We’re looking for a Project Delivery Engineer (Cyber Security) to join an expanding Cyber Security Projects

Senior Salesforce DevOps Engineer - Azure DevOps - SC cleared. An exciting opportunity for a Senior Salesforce DevOps Engineer to architect and optimise CI/CD pipelines supporting large-scale Salesforce delivery. This position will focus on enabling scalable, repeatable deployment strategies and imp

Forward Deployed Engineer Generative AI / LLM Deployment. We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

Azure Environment Engineer - D365 – Derbyshire /Hybrid 2 days p/w £60,000 - £71,000 Environment & Release ManagerDynamics 365 Environment Engineer / D365 DevOps Engineer / D365 Build & Release Engineer / Dynamics 365 Platform Engineer / Dynamics 365 Cloud Environment Engineer / D365 Environments & Build Enginee r We're looking for a D365 Environments & Build Engineer to take ownership of our clients Microsoft Dynamics 365 CE and F&O environments, ensuring they remain stable, secure, and optimised for continuous delivery. You'll play a key role in enabling their agile development teams by overseeing environment provisioning, build automation, and release pipelines. What You'll Be Doing Provision, maintain, and optimise D365 CE and F&O environments (DEV, SIT, Sandbox, UAT, PROD). Manage cloning, environment refreshes, backups, and performance monitoring. Troubleshoot issues using Azure Monitor, Application Insights, and other tooling. Automate environment setup using PowerShell, Azure DevOps, and Microsoft Lifecycle Services (LCS). Build, maintain, and improve Azure DevOps pipelines to support consistent, reliable CI/CD. Manage releases into pre-production and production environments, coordinating closely with development and QA teams. Ensure build integrity, environment stability, and compliance with internal security and data governance standards. Maintain accurate environment documentation, including topology and access controls. What You'll Bring Hands-on experience managing D365 CE and/or F&O environments. Strong Azure DevOps skills, including pipeline creation and deployment automation. Knowledge of Power Platform, Dataverse, LCS, and cloud environment management. Ability to script using PowerShell or YAML. Strong diagnostic and troubleshooting skills. Understanding of backup, disaster recovery, and infrastructure-as-code concepts. Desirable: Microsoft Dynamics 365 certifications. Experience in regulated environments. Exposure to DevSecOps and cloud monitoring tools. This is an exciting opportunity to join an organisation that are undertaking an exciting transformational journey that directly impact the lives of those around us. TPBN1_UKTJ

Project Engineer Location : Peterborough | Full-time, Permanent | Up to £60k depending on experience You own the project. From first build at OAL to a system running in production at a customer site. This is a senior engineering role. You are responsible for delivering complete automation and robotics projects: pre-building and testing systems at OAL's Peterborough facility, deploying them at customer sites across the UK, and making sure they work reliably in live production. You are the lead engineer on your projects. You manage the technical delivery, coordinate the engineering team around you, act as the primary point of contact for the customer on site, and take ownership of the outcome. If a system is running well in a food factory six months after handover, that is your project. You will work across machine vision, PLC controls, industrial robotics and SCADA systems. You will manage project budgets and timelines. You will need to make technical decisions under pressure and communicate clearly with both engineers and factory operations teams. If you have five or more years of experience delivering automation or systems integration projects and you want to own the full lifecycle rather than just a piece of it, this role is built for that. What this role actually looks like Every project follows a cycle: design, pre-build and test at OAL, site installation, live commissioning, go-live support and customer handover. As Project Engineer, you are responsible for the full delivery. Your work starts during the design phase and does not finish until the customer is running the system independently. At OAL's Peterborough facility, you oversee the pre-build and testing of systems before they leave the building. You work with commissioning engineers, installation engineers and software engineers to assemble, wire, program and prove equipment in a controlled environment. You make sure the system meets specification and is ready for site before it ships. At customer sites across the UK, you lead the installation, commissioning and go-live. You are the primary point of contact for the customer's technical and operations teams. You manage the on-site engineering work, resolve issues as they come up, coordinate with OAL's Peterborough base when needed, and make sure the system is handed over properly with documentation and training complete. Day to day, you are responsible for: Leading the technical delivery of automation and robotics projects from pre-build through to customer handover Overseeing pre-build, assembly and testing of systems at OAL's Peterborough facility Managing on-site installation, commissioning and go-live at customer factories Acting as the primary engineering contact for customers during project delivery Coordinating the work of commissioning engineers, installation engineers and software engineers on your projects Managing project budgets and timelines, keeping delivery on track Diagnosing and resolving technical issues, both during pre-build and on site Producing and maintaining project documentation for OAL and customer records Providing training to customer teams on systems and applications Driving continuous improvement by feeding back design and process lessons from each project A typical week depends on where your projects are in the cycle. During pre-build phases, you will be at OAL's Peterborough base coordinating the build and running tests. During deployment phases, you will be at customer sites leading the installation and go-live. Between projects, you will be involved in design reviews and preparation for the next delivery. Your skills probably already fit This role suits experienced engineers who have delivered automation projects end to end. If you have led installations, managed customer relationships on site and taken ownership of technical outcomes, you already have the core of what we need. Relevant technical experience includes: Machine vision: camera systems, inspection, verification PLC and industrial controls: programming, commissioning, fault-finding Robotics: industrial robots, safety systems, cell integration SCADA and HMI: Ignition, or similar platforms Systems integration: getting multiple technologies to work together reliably on a production line Industrial networking: Ethernet/IP, PROFINET, fieldbus protocols Engineers who do well in this role at OAL have typically come from systems integrators, automation suppliers, machine builders, robotics companies, or manufacturing engineering roles where they owned the delivery of capital projects. You do not need food manufacturing experience. The engineering is transferable. You will learn the specifics of food production environments during project delivery. What you should expect from us, and what we expect from you We will be direct about this, because it helps both sides. You own the delivery. This is not a role where you follow someone else's plan. You are accountable for the technical outcome of your projects, from pre-build quality through to customer satisfaction after handover. The work is hands-on, both at OAL and on site. You will spend time in OAL's workshop overseeing pre-builds and time at customer factories leading deployments. These are real production environments: chilled, ambient, high-care. Travel is part of the role. Customer sites are across the UK. Deployment phases require time on site, including overnight stays. We ask for flexibility around this, and we are realistic about planning it. The split between Peterborough and customer sites shifts through the year depending on the project pipeline. You will manage people and priorities. You coordinate the engineers working on your projects. You manage budgets and timelines. You make decisions when things do not go to plan. Go-live periods are pressurised. When a production line is scheduled to start, the system has to work. You will need to lead calmly and effectively when timelines are tight and the customer is watching. Standards are high. OAL delivers automation systems that run 24/7. The projects you deliver have to be reliable, documented and supportable long after handover. In return, you get: Full ownership of projects from workshop to live production Variety across different customers, sites and technologies Exposure to the complete automation stack: vision, robotics, controls, SCADA, software A team of capable engineers who take the work seriously The satisfaction of seeing a system you built and delivered running reliably in a customer's factory Progression based on what you deliver, not how long you have been here What we are looking for Degree or equivalent qualification in engineering, IT or a related discipline Five or more years of hands-on experience delivering automation or systems integration projects Proven ability to lead project delivery and manage customer relationships on site Comfortable working with PLC systems, Windows environments, networking and SQL databases Strong fault-finding and troubleshooting ability across multiple technologies Able to manage project budgets and timelines Clear communicator who can work effectively with engineers, factory operations staff and senior customer stakeholders Full UK driving licence Willing to travel and stay away from home when projects require it Experience in food manufacturing is not required. If you have the project delivery and engineering skills, we will help you apply them in this sector. The mission you are contributing to OAL automates UK food manufacturing. Food factories face labour shortages, tightening compliance requirements and pressure on costs. The projects you deliver directly address those problems. You will deliver packaging verification systems that prevent product recalls, robotic cells that replace repetitive manual work, and vision systems that catch errors human inspection cannot sustain. These systems run on live production lines across the UK. You will build them at OAL, deploy them at customer sites, and see them operating in the factories long after handover. TPBN1_UKTJ

Endpoint Engineer ready for your next challenge? Do you enjoy solving complex technical problems, engineering secure and modern endpoint solutions, and working with a team who share your passion for doing things the right way? If youre excited by the idea of shaping best-in-class endpoint platforms in a highly secure Defence environment, then this could be the perfect opportunity for you. Our Endpoint Engineering team is growing within our Aerospace, Defence and Security business. Youll be joining a collaborative group of engineers who focus on high-quality design, automated testing, secure-by-design principles and modern engineering practices. We look after the delivery, configuration and management of operating systems and endpoint technologies across user devices, as well as print and scan platforms. With a strong emphasis on automation and efficiency, we use the latest technologies to develop a highly integrated, on-premises endpoint platform. Office Based inGloucester. You will need to already hold, or be eligible to obtain, DV clearance. What you'll be doing: • Delivering endpoint engineering activities including hardware and software evaluation, integration, deployment, testing and platform administration., • Producing clear technical documentation to support proposals, implementation and ongoing operations., • Providing third-line support and resolving incidents and requests in line with SLAs using agile toolsets like Jira., • Developing and implementing automation solutions using tools such as PowerShell, Python and Ansible., • Designing and maintaining automated build, test and deployment pipelines aligned with CI/CD practices., • Strong experience with Microsoft Configuration Management technologies such as SCCM, and SCORCH., • Knowledge of anti-malware technologies., • Experience with thin client and VDI solutions., • Understanding of user profile and access management, vulnerability management and print/scan services., • Advanced enterprise infrastructure skills including Windows 11 and Windows Server 2025., • Experience with automation pipelines and virtualisation., • Exposure to Git version control and automated testing frameworks., • Relevant technical accreditations., • Understanding of Linux infrastructure management. Employment Type: Full time, Permanent. Location: Gloucester. Employment Type: Full time, Permanent. Location: Office based in Gloucester. Security Clearance Level: Eligible for DV Clearance. Internal Recruiter: Jane. Salary: Up to £65K. Benefits: £5,400 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund. Loved reading about this job and want to know more about us? Sopra Sterias Aerospace, Defence and Security business designs, develops and deploys digital solutions to Central Government clients. The work we do makes a real difference to the clients goal of National Security, and we operate in a unique and privileged environment. We are given time for professional development activities, and we coach and mentor our colleagues, sharing knowledge and learning from each other. We foster a culture in which employees feel valued and supported and have pride in their work for the customer, delivering outstanding rates of customer satisfaction in the UKs most complex safety- and security-critical markets. JBRP1_UKTJ

Electronic Warfare Systems Engineer Porton Down (SP4) Perm - Full Time On-site • Salary £50,000 - £65,000 DOE, • 25 days annual leave inclusive of up to 3 days Christmas shut-down, • Buy or sell up to 5 days annual leave, • Annual Wellbeing allowance, • Two pension schemes to choose from, • Private Medical Insurance + discounts for additional family members, • Life Assurance scheme up to 4 x salary, • Share Save scheme, • Electric/Hybrid Car leasing scheme, • Cycle to work scheme, • Retail discounts, • Career development support Join MASS at Porton Down as anElectronic Warfare Systems Engineerand play a key role in delivering cutting-edge EW solutions. Youll be embedded directly with our technical customer, Dstl, helping to design, implement, and validate new capabilities, influence operational outcomes, and develop into a Subject Matter Expert within a high-performing, multidisciplinary team. The invaluable experience youll bring Joining a large project in its early phases, you will be needed to gather stakeholder use cases and work together with a broad range of customers and colleagues to define User and System Requirements, and support the derivation of Design Specifications. Youll play a key role during deployment, providing hands-on support and guidance for design activities, using your Model-Based Systems Engineering expertise (UML, SysML, ArchiMate) helping turn concepts into operational solutions. Essential: • Systems Engineering, • System Design Documentation, • Defence Industry knowledge of EW systems, • Test and acceptance of integrated systems, • Experience across the Engineering Delivery Lifecycle, • Requirements Management (DOORS/Enterprise Architect etc.) Desirable: • Systems Modelling (UML/SysML), • Coding experience (JavaScript or MATLAB/Simulink), • Previous ex-Military experience with EW systems (operator, maintenance, support, or acquisition). Wellbeingis at the core to our culture, allowing you to flourish and to achieve your full potential. You are important to us, and we take pride in our wellbeing programmes and policies that support you as individuals including, mental health first aiders and readily available support through our extensive employee assistance programme. Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with,youmustbe: • A UK National and eligible to work in the UK JBRP1_UKTJ

Belcan Workforce Solutions are recruiting for a Scada Engineer - ADMS Energy systems. 12 month - Inside IR35 contract role. UK remote based with trips to UK & Europe offices as required. Job Description We're looking for a Scada Engineer to connect our customers with our technologies and products. Our team is involved in ADMS (Advanced Distributions Management System) related projects, tackling problems ranging from analysing data to providing solutions for varied customer business requirements. Our product is deployed in distribution companies worldwide and is leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth transitions and integration of legacy systems into new ADMS SCADA environments. Install and configure SCADA simulation systems to support testing, training, and operational simulations. Ensure accurate modelling of SCADA environments to meet system requirements. Handle the installation and configuration of Front-End Processors (FEP) and Enhanced Front-End Processors (EFEPS), ensuring seamless communication between SCADA systems and remote devices. Conduct thorough SCADA testing, validating the system's functionality, performance, and reliability. Identify and resolve issues, ensuring the system meets operational requirements. Provide expert consultancy to clients, delivering workshops and training sessions to enhance their understanding and utilisation of SCADA systems. Share best practices and ensure clients are equipped to manage and optimize their SCADA environments. Lead the deployment and commissioning of ICCP (Inter-Control Centre Communications Protocol), ensuring proper integration of multiple control centres and seamless data communication. Stay current with emerging SCADA protocols and technologies, continuously expanding your knowledge to ensure the implementation of the latest best practices and industry standards. Required Skills & Experience: Extensive experience in ADMS SCADA migration and integration. Proven expertise in the installation and configuration of SCADA simulation systems. Solid knowledge of Front-End Processors (FEP) and Enhanced FEPs (EFEPS) installation and configuration. Strong hands-on experience in SCADA testing, troubleshooting, and optimisation. Experience providing consultancy, workshops, and training to clients on SCADA systems. Practical knowledge of ICCP deployment and commissioning. Passion for learning and staying updated on new SCADA protocols and technologies. Strong problem-solving and analytical skills. Excellent communication and customer-facing skills. Preferred Qualifications: Familiarity with a variety of SCADA protocols (e.g., IEC 61850, DNP3, Modbus, etc.). Experience with SCADA systems in the energy or utilities sector is a significant advantage. Any experience working with ADMS, OMS, and DMS systems in utility or energy sectors. Relevant certifications in SCADA systems, ADMS, or energy management technologies. Ability to work independently and in cross-functional teams. This vacancy is being advertised by Belcan JBRP1_UKTJ

Job Title: Field Application Engineer Location: UK Salary: We know salary transparency matters. While we can't list a figure on this advert, the client is genuinely flexible and open to shaping the package around the right person. Employment Type: Permanent Working Arrangement: Remote plus circa 30% travel About the Role A leading technology business is seeking a Field Application Engineer to work closely with customers, understand their technical requirements, and translate these into clear engineering specifications. You will act as the main technical contact throughout the full project lifecycle, ensuring solutions are correctly applied, integrated, and supported. Key Responsibilities - Engage with customers to understand technical and operational needs. - Translate customer requirements into detailed technical documentation. - Provide full lifecycle support from concept through integration, testing, deployment, and post‑delivery. - Assess and advise on the application of products to meet customer challenges. - Act as the primary technical liaison between customers and internal engineering teams. - Support product demonstrations, troubleshooting, and solution optimisation. Skills and Experience - Strong background in embedded systems. - Experience with VxWorks and Linux. - Proficiency in C/C++ for embedded systems/hardware - Ability to interpret customer needs and convert them into actionable technical requirements. - Confident communicator with experience working directly with customers. - Problem‑solving mindset and ability to work both independently and collaboratively. Due to the nature of the work, this role requires SC clearance. Candidates must be UK nationals or have resided in the UK for a minimum of 5 years to meet eligibility criteria. For more information, please contact Cathy Swain. T: 01582 350053 E: TPBN1_UKTJ

We’re hiring a Senior Software Engineer (Python) - Trading Systems to own and evolve a production options trading system. It runs during market hours, ingests real-time market data, and requires profiling-led performance engineering to keep p50/p99 latency, jitter, and reliability within tight bounds. You’ll take meaningful ownership day-to-day, partnering closely with the founder and the engineering team to prioritise work, ship improvements quickly, and keep the system fast, reliable, and correct. Who this is for • This role is for engineers who have built and owned real-time, performance-critical systems., • It is not suitable for candidates whose experience is mainly web product development (frontend-heavy or CRUD backends)., • We’re looking for proven experience with measuring and improving p99 latency/jitter and operating systems during time-critical windows., • Must be based in the UK and with a legal right to work in the UK Location: UK-based Working style: Mostly remote, occasional in-person days for planning/coordination Support: Availability during core market hours required What You’ll Do • Own and improve a production Python codebase that runs during market hours., • Build and optimise real-time market data pipelines (throughput, p50/p99 latency, jitter)., • Do profiling-driven performance work across ingestion → compute → messaging → consumers., • Improve reliability: freshness/staleness handling, safe degradation, back pressure, fault isolation., • Strengthen “developer leverage”: replay/simulation tools, regression tests, and debugging tooling., • Work with cloud infrastructure, deployment, monitoring, and incident response., • Collaborate directly with the founder and engineering team on architecture and roadmap. Essential Skills • 5+ years professional Python experience; you’ve shipped and owned production systems., • Built/owned a real-time / low-latency system (not batch ETL) with measurable performance goals., • Strong understanding of async + multiprocessing trade offs and performance profiling., • Comfortable owning an existing codebase: refactors, tests, architecture improvements., • Experience with messaging / event-driven systems and strong API/schema discipline., • Production ownership mindset: incidents, monitoring, and fast debugging when it matters., • UK-based preferred and able to support core market hours when required. Desirable Skills • Interactive Brokers (TWS/IB Gateway) or similar brokerage/execution APIs., • Experience with trading, market data, or execution systems., • Experience designing safety constraints/guardrails in automated systems. What We Offer • Competitive salary (negotiable) + performance-related bonus., • Mostly remote, with some in-office collaboration days for coordination and planning, • Lean environment, direct impact on a live system., • High ownership and influence over system design and roadmap.

We’re Hiring on Behalf of Our Client: ML & AI Engineers Our client, a forward-thinking organization investing heavily in AI and machine learning innovation, is looking to hire ML & AI Engineers across multiple experience levels. If you’re passionate about deploying scalable AI systems and working on cutting-edge technologies, this could be your next move. Role Overview As an ML & AI Engineer, you will be responsible for automating model deployment, managing version control, and ensuring production-ready AI systems. You’ll also play a key role in integrating AI/LLM agents with strong observability and rollback mechanisms. Location : Leeds/Manchester Client : IT End Client :Banking domain Work Mode: Hybrid Contract : Inside IR 35 Salary : Market Standards Key Responsibilities • Automate ML model deployment workflows, • Manage model versioning and release processes, • Monitor inference cost, latency, and model drift, • Safely integrate AI/LLM agents into production systems, • Implement observability, alerting, and rollback mechanisms Experience Levels We’re hiring across multiple seniority levels: • Senior Developer: 3–6 years (ML/AI Engineering), • Lead Engineer: 7–9 years (ML/AI Engineering), • Architect: 10+ years (ML/AI Engineering) Required Skills • Model deployment automation, • Model version control, • Monitoring (cost, latency, drift), • Production integration of AI/LLM agents, • Observability & rollback systems Preferred Skills • Experience with containerized environments (Docker/Kubernetes), • Familiarity with CI/CD pipelines for ML (MLOps) Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Location Flexible / Open (depending on project requirements) Employment Type Full-time Why Apply? This is a fantastic opportunity to work with a client at the forefront of AI innovation, building scalable, production-grade systems that make a real impact. Interested? Apply now or message me directly to learn more. Referrals are welcome! #Hiring #AIJobs #MLEngineer #MLOps #TechCareers #Recruitment #AIEngineering

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Software Engineering Job Title: Senior Engineer – Confluent Location: London UK About the Job you are considering: We are seeking a Senior Software Engineer with strong Handson experience in Confluent Platform Apache Kafka and Apache Flink to support the introduction and evolution of Intact enterprise streaming capabilities This role sits within the Integration function responsible for enabling real time data event driven architecture and high performance integrations across the organisation The ideal candidate will contribute to the design development and scaling of Intact Confluent based streaming platform supporting teams across the organisation in adopting event driven approaches This opportunity sits within a significant cloud modernisation programme leveraging Agile and DevOps practices to continuously deliver business value. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Deliver engineering tasks across the Confluent Streaming Platform including the design development testing and deployment of event driven services and data pipelines, • Develop Kafka topics schemas and streaming applications using Kafka, Kafka Connect Schema Registry and Flink, • Collaborate with architects and platform teams to shape the event streaming roadmap, • Provide subject matter expertise in distributed streaming and event driven architecture, • Review streaming applications produced by other engineers ensuring quality and best practices, • Troubleshoot production streaming issues and conduct root cause analysis, • Promote platform standards governance models and reusable patterns, • Collaborate with vendor teams and Confluent professional services, • Actively participate in Agile ceremonies and technical discussions, • Customer Conduct Framework, • 6 years of software engineering experience including 3 years hands on with Confluent Apache Kafka, • Experience designing and building distributed streaming applications using Confluent Platform components, • Strong understanding of event driven architecture concepts event streaming event sourcing Pub Sub stream processing, • Experience with AvroJSONProtobuf schema evolution and Schema Registry, • Proficient with Git Jira Azure DevOps Docker Kubernetes, • Working knowledge of AWS and Azure, • Strong understanding of clean code reusable component design and Agile DevOps practices, • Decision Making Authority, • Makes decisions on design and implementation of streaming components within agreed architecture and standards, • Provides expert guidance impacting platform reliability performance and integration quality Capgemini is proud to be a ___

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation SBU - Invent CU - Business Technology Global Grade - C At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Our Cloud Engineering Consultants sit within Digital Excellence, part of the Business Technology practice in Capgemini Invent, which leads digital transformation projects across Capgemini. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand-in-glove with our clients. As one of our Cloud Engineers, you will design , build, and maintain cloud infrastructure. You will develop automated build and deployment pipelines, implement monitoring and alerting solutions, troubleshoot production issues, ensure security and compliance, and optimize infrastructure. You will be using variety of technologies such as Docker, Terraform, Kubernetes and have exposure to public cloud providers such as AWS, Azure or GCP. As part of your role you will: • Be a senior or lead engineer, • Work with the architect and the cross-discipline development teams to implement the relevant CI/CD automation for the team’s needs., • Be responsible for the infrastructure provisioning, configuration, build, deployment and monitoring using Infrastructure as Code., • Work with clients and internal teams to develop new opportunities and creating a DevOps culture., • Provide operational support including application monitoring and troubleshooting, • Conduct systems tests for security, performance, and availability, • Share your knowledge and experience with colleagues as you coach them and mentor them, helping the team to grow their skills, as well as developing your own skills by experimenting with and learning new technologies As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: • Leadership – People/line manager, stakeholder management and communication, recruitment, etc., • Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events., • Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development., • Learning & development – Training to support your career development and the skills demand within the company, certifications etc. To be considered for this position you must hold active SC (Security Check) Clearance , or be eligible to gain this level of clearance. You will also have: • 5+ years experience working with multiple cloud technologies and services - seeking strong experience with Azure, GCP and/or OCI.Exemplar AWS CVs will be considered. Proven experience in DevOps processes and best practices, • Extensive experience in designing, implementing, and maintaining CI/CD pipelines - GitLab CI, GitHub Actions, Jenkins etc, • Extensive experience with containerisation, virtualisation, and orchestration technologies - Docker, Kubernetes etc, • Extensive experience using Infrastructure as Code for configuration management and code implementation - Terraform etc., • Experience setting up and using monitoring and alerting tools such as Dynatrace, Grafana, Cloudwatch etc., • Experience using Configuration management tools like Puppet, Ansible, Packer, Chef., • Experience with various testing tooling - Selenium, Cucumber etc, • Experience in scripting - bash/shell, • Ability to be flexible and support the development, deployment, and pipelines of a variety of technologies - such as Java Spring Boot microservices, NodeJS frontend services, SQL/NoSQL databases and a variety of cloud components., • Experience using version control software - Git, • Experience using online version control tools - GitHub, GitLab etc, • Experience working in an agile team environment, • Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation, • Strong soft stills key to consulting: time and risk management, problem solving, leading with empathy We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 4 consecutive years . To see what it’s like to work at Capgemini Invent, visit our ___. Capgemini Invent offers engineers a culture of learning, ownership, and focus on value. • You’ll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies., • Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client’s outcomes., • Les Fontaines : Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed., • We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients., • There are monthly team drinks, and it’s a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new. At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Capgemini is proud to be a ___under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

As a Biopolymer Scientist / Materials Engineer at Sealeo, you will take a central role in the development of a cutting-edge biomaterial system at the heart of the company’s technology. This is a hands-on, applied materials role with real ownership and responsibility. You will work directly with the founders on polysaccharide-based and soft-matter systems, generating new experimental data, structuring and interpreting existing results, and guiding technical decisions that shape Sealeo’s development trajectory. Your work will directly influence how a novel biomaterial progresses from early-stage development toward industrial readiness. This role suits someone who thrives in fast-moving, ambiguous environments and enjoys tackling complex materials challenges that do not yet have established playbooks. You will balance rapid experimentation with deeper materials understanding, making informed judgement calls that matter. You will collaborate with leading academic and industrial partners, engaging with advanced testing, validation, and scale-up capabilities beyond a single lab. This offers rare exposure to the full journey of novel biomaterials, from bench-scale science to real-world application. The role is part-time (2-3 days per week) with high flexibility in working hours and an outcome-driven approach. As Sealeo grows, there is clear potential to transition into a full-time position within 12 months, with scope for expanded responsibility and long-term technical leadership for the right person. Responsibilities Material Development & Evaluation: • Take a central scientific role in the development of novel biopolymer-based material systems, working with polysaccharides and soft-matter materials., • Contribute to Sealeo’s work within a large funded consortium, supporting and coordinating material validation, characterisation, and scale-up activities across partners., • Identify, evaluate, and select suitable biopolymer inputs and functional material components based on performance, manufacturability, and scale-up considerations., • Design and execute bench-scale experiments to develop, optimise, and characterise biomaterials., • Correlate material chemistry and structure with macroscopic properties relevant to real-world performance., • Structure, consolidate, and critically analyse existing experimental data to support clear technical decisions., • Design and generate new experimental data to resolve open technical questions and reduce development risk., • Develop and validate analytical test methods to ensure consistency and reproducibility in formulation performance., • Communicate material insights and formulation changes internally and externally, enabling effective collaboration with research organisations, scale-up partners, and manufacturing stakeholders., • Ensure experimental work remains aligned with manufacturing constraints, cost considerations, and downstream deployment requirements., • Contribute to the development of intellectual property, including patents and trade secrets. Qualifications Must-have: • PhD (ongoing or completed) in Materials Science, Polymer Chemistry, Chemical Engineering, or equivalent hands-on industry experience., • Demonstrated hands-on laboratory experience working with polysaccharides (e.g. alginate, cellulose, chitosan, starch) in material or formulation contexts., • Proven experience developing and testing physical material systems, such as foams, hydrogels, porous materials, or biopolymer-based composites., • Strong experimental skills, including designing experiments, generating reproducible data, and analysing results., • Experience working in exploratory R&D environments, with comfort navigating ambiguity and incomplete data., • Ability to translate experimental findings into clear technical conclusions and recommendations that support decision-making., • Strong written and verbal communication skills for technical documentation and partner-facing discussions. Nice-to-have: • Familiarity with thermal properties, heat transfer, and insulation-related material performance., • Exposure to thermal cycling, stability testing, or durability studies under repeated operating conditions., • Experience interfacing with scale-up, pilot manufacturing, or process engineering teams.