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Job Advertisement: M365 DevOps EngineerLocation: Carbrook, SheffieldContract Type: TemporaryDaily Rate: £500 Are you ready to make a real impact in the public services sector? Our client South Yorkshire Police are seeking a talented M365 DevOps Engineer to join their dynamic team! If you're passionate about transforming technical requirements into effective solutions and delivering high-quality products, we want to hear from you! Role Purpose:As an M365 DevOps Engineer, you'll play a crucial role in enabling product delivery for South Yorkshire Police. Your expertise will help in creating repeatable, scalable, and highly available deployment strategies. You'll be the go-to person for delivery teams, solving complex problems and supporting the design, development, and delivery of M365 solutions. Key Responsibilities: • Collaborate with business stakeholders to scope solutions using the M365 development stack, ensuring a seamless end-to-end process from scoping to delivery., • Support the design, development, and delivery of M365 SharePoint and Power Platform solutions., • Manage development components to align with business needs and minimum viable product requirements., • Identify and implement process optimization opportunities with guidance., • Embed security controls in all solutions to mitigate potential threats., • Guide others in applying modern standards and approaches., • Collaborate with team members to review specifications, design, code, test, and document programs of medium-to-high complexity., • Champion user research, prioritizing user needs and guiding the team in understanding user stories., • Degree in a related discipline or equivalent experience (2+ years)., • Proven ability to manage, coach, and develop a team of DevOps engineers., • Strong experience in developing and managing technology solutions using the Microsoft 365 Power Platform and SharePoint., • Effective communication skills for presenting information across diverse technical audiences., • Practical implementation experience of data security and familiarity with project management methodologies., • Relevant professional qualifications in Microsoft, Amazon, or Google cloud services., • Experience in a policing environment., • Background in developing graduate capabilities within organizations. Core Values:At our client's organization, we uphold integrity, impartiality, public service, and transparency. We value emotional awareness, ownership, collaboration, and innovation. Ready to take the next step in your career?If you're a dedicated M365 DevOps Engineer looking for an exciting temporary opportunity, we want to hear from you! Apply now and be a part of something meaningful! Join us in shaping the future of public services with innovative technology solutions! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

Principal Infrastructure Platform Engineer Whitehall Resources require a Principal Infrastructure Platform Engineer to work with a key client on a 6 month initial contract. *This role will require on site work in Sheffield 3 days per week. *Inside IR35. Principal Infrastructure Platform Engineer Role Description: Strong Performance: Consistently demonstrates sound technical judgment, aligns platform decisions with enterprise goals, and enables progress across multiple teams. Exceptional Performance: Sets enterprise-wide technical direction, reduces systemic risk, and scales impact through standards, strategy, and mentorship. 0–30 Days: Organizational Alignment & System Comprehension Theme: Learns fast, builds credibility, operates effectively within enterprise constraints. 1. Architecture & Systems Knowledge Meets Expectations Demonstrates working knowledge of: • Key Platform Products/Services, • Network topology, IAM, CI/CD, monitoring, and security tooling, • Accurately explains current-state architecture, dependencies, and constraints. Exceeds Expectations • Identifies undocumented system behaviors, hidden coupling, or legacy risks early., • Provides leadership with a concise, accurate current-state assessment. 2. Reliability, Security & Risk Awareness Meets Expectations • Reviews historical incidents, audits, and compliance requirements., • Understands escalation paths, operational ownership, and change management processes. Exceeds Expectations • Proactively identifies systemic reliability or security risks and articulates business impact., • Surfaces risk tradeoffs in clear, executive-appropriate language. 3. Enterprise Influence & Collaboration Meets Expectations Establishes productive relationships across: • Enterprise Infrastructure, • Security, • Application teams (our customers), • Architecture review boards, • Respects governance and decision-making processes. Exceeds Expectations • Quickly earns trust as a neutral, high-judgment technical advisor., • Is consulted informally on complex or sensitive technical decisions. 31–60 Days: Technical Leadership & Measurable Impact Theme: Converts understanding into alignment, decisions, and improvement. 1. Architecture & Technical Direction Meets Expectations • Authors or contributes to enterprise-grade design documents., • Aligns proposals with: • Enterprise architecture standards, • Security and compliance requirements, • Cost and operational constraints Exceeds Expectations • Simplifies or clarifies existing architecture standards., • Resolves cross-team architectural disagreements through data and reasoning. 2. Execution & Delivery Meets Expectations • Leads or materially contributes to at least one high-impact infrastructure initiative, such as: • Platform modernization, • IaC standardization, • CI/CD reliability improvements, • Cost optimization Exceeds Expectations • Delivers measurable improvements (e.g., ↓ MTTR, ↓ deployment failures, ↓ cloud spend)., • Enables delivery across multiple teams without direct authority. 3. Reliability, Security & Operations Meets Expectations • Improves consistency of: • Incident response, • Postmortems, • Change management practices Exceeds Expectations • Introduces or strengthens reliability metrics, or risk dashboards used beyond a single team., • Elevates operational maturity at the program or portfolio level. 4. Mentorship & Technical Stewardship Meets Expectations • Mentors senior/staff engineers through design reviews and technical guidance., • Models strong documentation and decision-making discipline. Exceeds Expectations • Raises design quality across teams., • Reduces rework and decision churn through clearer architectural guidance.

Principal AI Platform Engineer Sheffield This is a standout opportunity to join a digital‑first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end‑to‑end agentic automation, and the technical direction of a brand‑new platform. The Company They are a tech‑led insurer transforming how complex home insurance is delivered. Their vision is to become the UK’s first fully AI‑driven insurer, supported by modern cloud infrastructure and a collaborative product‑focused culture. The Role You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production‑ready, highly scalable, and reliable across the business. Key responsibilities include: • Designing and delivering an AI platform that supports large‑scale agentic automation and end‑to‑end claims journeys, • Building robust RAG pipelines, LLM‑based systems, and deployment frameworks, • Developing AI agents for claims handling, internal tooling, and customer‑facing chat solutions, • Evolving an internal AI assistant and expanding its capabilities across teams, • Working hands‑on across cloud infrastructure, observability, evaluation, and optimisation, • Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience • Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems, • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling, • Hands‑on cloud engineering experience, ideally in GCP and its AI ecosystem, • Strong Python engineering ability and experience building production‑grade services, • Experience working with vector search, data ingestion, observability, and experimentation frameworks, • A STEM background or equivalent technical capability What They Offer • Salary up to 90,000 plus benefits, • Hybrid working with 1–2 days per week in their Sheffield office, • The chance to join as the first hire in a scaling AI division with a 10‑role roadmap, • Significant autonomy, influence, and end‑to‑end ownership of AI platform design, • The opportunity to build cutting‑edge agentic systems and production AI from the ground up How to Apply If you are excited by the opportunity, please apply with your CV.

Principal Data Engineer Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We're building a world-class data engineering function to power the next generation of our data platform, with modern tools and practices at our core. As a Principal Data Engineer, you'll build and maintain the robust data systems that power our analytics and operational needs. You'll work across our entire data platform, from batch processing to real-time event streams, ensuring our solutions are scalable, maintainable, and deliver real value to our users. Data Engineering Team You'll have the opportunity to work with modern data engineering tools and practices, while learning from experienced engineers. We offer the freedom to work in whatever way suits you best - whether that's remote, in our Sheffield office, or a mix of both. You're encouraged to contribute to architectural decisions, take ownership of key platform components, and develop your skills across the full data engineering spectrum. With our focus on impact over hours worked, you'll be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide. • We embrace modern data engineering practices and tools, • We champion learning and development, • We believe in empowering engineers to drive technical decisions, • We focus on impact and outcomes over process What will you be doing? As our Principal Data Engineer, you will: • Work with stakeholders to scope out new high impact projects, • Design, build and maintain scalable data pipelines, • Implement event streaming solutions, • Design and optimize data models from ingestion to presentation layers, • Set and implement the standards for code quality, testing practices, CI/CD workflows, • Design solutions and make architectural decisions that serve the long term needs of the organization, • Work closely with data scientists and analysts to identify and deliver high impact projects, • Manage stakeholders across the business from both technical and non-technical domains, • Help build and maintain our data catalog and documentation, • Implement comprehensive data quality frameworks and standards that contribute to confidence in our data, • Turn complex data problems into maintainable solutions, • Identify opportunities for the use of AI across the development lifecycle, • Build an awareness of data industry trends and opportunities that Twinkl can leverage to, • Mentor and coach existing team members, sharing knowledge and experience, investing in the growth of the whole team What do we need from you? • Minimum 7 years experience working in Data Engineering/Analytics Engineering or within data teams, • Minimum 2 years of experience with a modern data platform such as Databricks or Snowflake, • Minimum 2 years of experience with DBT or similar data modelling framework, • Knowledge of different data architecture patterns and how and when to implement them, • Knowledge of data modeling and warehouse design, • Minimum 5 years experience with SQL and Python, • Experience with version control and CI/CD, • Experience with infrastructure as code such as Terraform, • Experience implementing data quality and testing approaches in a modern data platform, • Experience implementing testing and deployment patterns for modern data pipelines Most importantly, you should: • Be curious about how things work and always looking to learn more, • Care about building reliable systems that make other people's jobs easier, • Understand that sometimes "boring" technology is the right choice, • Get satisfaction from cleaning up messy data problems, • Want to work somewhere where you can have real impact, not just maintain the status quo What’s in it for you? • A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process, • 33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave, • An additional day of annual leave, a Me Day, to take time for yourself, • Charity day to volunteer and support a registered charity of your choice, • Westfield Health (including Health Club discount and Westfield Rewards discount and cashback), • Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business, • 4 x annual salary death in service life assurance, • Enhanced pension after long service, • Enhanced parental and adoption leave after long service, • Quarterly awards designed to reward and recognise our wonderful Twinkl employees, • Seasonal events for all UK employees so you can catch up with your new colleagues in person, • Twinkl Subscription How do we make it happen? We like to keep things simple and clear, after an initial chat with our TA Partner the process is: • Initial 30 minute chat with one of our Head of Data Engineering so you can get to know more about the role., • 60 minute technical interview - we’ll go over your tech test and talk about it in more detail. Then we’ll do a few competency based questions. You’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • 60 minute behaviours interview - where we'll do some competency based questions and you’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • That’s it, we’ll review everything and let you know, either way you’ll be given feedback about your interview because we believe constructive feedback is always important. At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.

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

Senior Backend Engineer - UK UK applicants only | Remote (Brighton HQ) | £80,000 - £100,000 We’re hiring a senior backend engineer to join a disciplined, senior team responsible for the platform behind Eequ, where engineers have real ownership and operate with high autonomy. This is a high-seniority individual contributor role. You will have been the primary owner of production systems, accountable for their design, deployment, and reliability under real-world load. You will be hands-on, responsible for both building and deploying the systems you work on. About Eequ Eequ is the market leader in delivering booking infrastructure for government-funded programmes supporting underserved communities, while also powering a growing commercial marketplace for activities across the UK. By serving both, we’re lighting up a nationwide network of independent providers and helping bring communities together through real-world classes, clubs and events. We are a product-led company with a high bar for quality, where thoughtful software design is the main engine of adoption and retention. Our growth has come not from sales people, but from customers who became our champions, because we built something genuinely worth recommending. What you'll do Build and operate the backend platform that powers a real marketplace handling bookings, payments, and reporting for thousands of families and providers. • Design and ship features from API design through database models to deployment, • Make architectural decisions and communicate them clearly to the team, • Own our AWS infrastructure, CI/CD pipelines, and keep production healthy with observability and alerting, • Lead incident response when things break, find root causes, and drive follow-ups, • Improve database performance, query patterns, and data pipeline as usage grows Our stack This stack reflects the platform we build and operate. You're not expected to have deep expertise in everything listed, but you should be comfortable and excited working with these technologies. • Node.js, NestJS, TypeScript, • MySQL with TypeORM, Redis-backed job queues, • AWS (EC2, RDS, S3, CloudWatch), managed with Terraform, • Monorepo with Turborepo, shared packages, and automated testing, • Github, Slack, Linear Who you are You've shipped and maintained scalable systems handling real-world transactional workloads You've owned cloud infrastructure, CI/CD pipelines, and incident response You favor simple, reliable architecture over clever solutions You take security seriously, especially around payments and personal data You're self-directed and operate with high agency You elevate others through thoughtful code reviews and mentorship Application link:

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

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.

REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company The Pyrometry Engineer is the site’s technical authority for AMS2750 compliance and all heat-treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations. Key Responsibilities • Lead site-wide compliance with AMS2750 and pyrometry standards., • Manage the Thermocouple Laboratory, including technicians, processes, and inventory., • Govern thermocouple selection, calibration, traceability, and deployment., • Direct and approve all TUS, SAT, and furnace calibration activities., • Maintain and approve all calibration documentation and certifications., • Develop and control pyrometry procedures, quality standards, and technical documentation., • Provide expert guidance for furnace troubleshooting, root-cause analysis, and NCRs., • Support internal, customer, and third-party audits as the site pyrometry SME., • Drive continuous improvement in furnace reliability, process capability, and operational efficiency., • Influence long-term thermal processing strategy across cross-functional teams., • Expert knowledge of AMS2750, pyrometry, and heat-treatment standards., • Strong background in metallurgy and heat-treatment science., • Deep understanding of thermocouple technologies and furnace control systems., • Skilled communicator able to influence senior stakeholders., • Proven capability in structured problem-solving and risk assessment., • Strong knowledge of AMS2750 and thermal processing standards, • Understanding of metallurgy and heat-treatment effects on materials, • Experience with thermocouples, calibration methods, and temperature-measurement systems, • Ability to set up temperature-monitoring equipment and collect accurate data, • Clear communicator able to influence stakeholders and write precise procedures, • Skilled in risk assessment, root-cause analysis, and problem-solving, • Quality-focused with a strong compliance mindset, • Able to work safely and effectively in a heavy-engineering environment

Reports to: Technology Director Location: Remote with occasional travel to London (2 times a month paid for) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, we’re launching an Innovation Labs function—an agile environment to rapidly design, build, and test new client-facing digital products and AI Agents. The Senior Product Engineer will be at the heart of this, working alongside the Technology Director and the Innovation Labs' Data Scientist. You’ll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agents within the innovation hub—bringing Serve Legal’s data and insights to life for clients. You already have solid engineering foundations and work with AI enabled IDEs (Cursor, Windsurf, etc), but you are keen to use AI powered platforms to develop applications (e.g. Lovable, Replit, Bolt). This is a startup-style role inside an established SME, with freedom to experiment, fail fast, and iterate—balanced with accountability to deliver deployable, client-ready digital products. What You’ll Do • Design & Build Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legal’s datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight., • Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop proof-of-concepts quickly and effectively., • Incorporate AI-enabled platforms, low-code/no-code accelerators into the team´s workflow., • Product Engineering & Deployment: Build robust, cloud-native environments that allow rapid experimentation and easy scale-up. Ensure seamless transition of prototypes into production in collaboration with Serve Legal’s data team., • Champion Product Innovation: Translate business and client needs into clear product engineering solutions. Act as a bridge between technical prototypes and client-facing experiences. Core Skills & Mindset • Inventor + Builder – enjoys building tangible products that bring AI, data and algorithms to life., • AI supportive - believes that the right AI tooling can help inform and expedite delivering value., • Full-Stack Thinker – comfortable across front-end, back-end, API and AI development., • Agile Operator – thrives in MVP cycles, rapid prototyping, and iterative delivery., • Commercial Awareness – understands client-facing product needs, UX, and scalability., • Collaborative Spirit – works fluidly with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python), • Web & Product Development: Frameworks (React, Node.js, Django/Flask), • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama, • Agentic AI: Frameworks (langchain, langgraph, Google ADK), • AI enabled code tooling: Cursor, Windsurf, GitHub copilot, • AI powered platform development: Lovable, Replit, Bolt, • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures, • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines, • Data Integration: Products integrating ML/AI models, databases, BI tools, • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys, • Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps • 6–10+ years in software/product/AI engineering with a track record of building client-facing products, • Proven experience in rapid prototyping, innovation labs, or product R&D teams, • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning, • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous), • Prior startup or SME experience where engineers own end-to-end delivery is highly valued What’s in It for You • The chance to design, build, and launch new digital products inside a market-leading SME, • Freedom to experiment and engineer with AI in a greenfield innovation function, • Remote-first flexibility, with in-person collaboration when needed, • Access to unique compliance and consumer datasets, • Competitive salary and the opportunity to shape Serve Legal's future offering

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

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)

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

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.

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.

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.

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.

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

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

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.

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!

MS Dynamics 365, Azure Remote Contract, outside IR35 Competitive daily rate We are seeking an experienced Azure, Microsoft (MS) Dynamics Engineer (Enterprise) to help design, develop, implement and integrate a new cloud-based CRM solution, utilising Azure tools and working on MS Dynamics and other CRM technologies used in the not-for-profit / public sectors. Core Responsibilities: • Develop and implement seamless integrations between CRM solution and the existing systems using Azure Services, i.e. Azure Logic Apps, Azure Functions, Azure API Management, and Azure Service Bus, • Create data pipelines and workflows using Azure Data Factory for batch integration, • Design and implement RESTful APIs for communication between systems, • Create and preside over detailed documentation of low level integration designs, processes and interface contracts Experience required: • Strong technical knowledge to design, develop and maintain complex integrations, • Ability to produce integration designs in line with the wider enterprise and solution architecture designs, patterns and principles, • Proven experience as an Integration Engineer having worked on enterprise-level solutions and integration, • Experience with MS Dynamics 365 / Dynamics CRM, • Strong hands-on experience with Microsoft services such as:, • Azure Logic Apps & Azure Functions, • Azure API Management & Azure Service Bus, • Azure Data Factory, • Power Platform Power Automate, • Experience developing and consuming APIs and web services, • Knowledge of API security standards and Azure Active Directory integration, • Proficiency in C#, .NET, or other modern programming languages, • Experience of DevOps including CI/CD pipelines, version control and deployment strategies If this sounds like you, please apply directly with your up to date CV & contact details attached. Due to high levels of interest, we kindly request you do NOT call our offices. We review all applications and will be in touch with successful candidates in due course. Thank you for your understanding on this request.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior 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.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k A growing cloud and platform engineering consultancy is looking for a Senior AWS Platform Engineer to play a key role in designing and building secure, scalable cloud platforms for a range of high-impact projects. This is a hands-on role suited to someone who enjoys solving complex infrastructure challenges, improving developer experience, and enabling teams to deliver software faster and more reliably. You’ll be working with modern cloud-native technologies across AWS, using tools such as Terraform, Kubernetes (EKS), and CI/CD pipelines to build robust, production-grade platforms. Key Responsibilities • Design, build, and operate AWS platform components aligned with best practices, • Implement and maintain infrastructure as code using Terraform, • Build and improve CI/CD pipelines to support efficient, reliable delivery, • Support containerised workloads using Kubernetes and EKS, • Collaborate with engineering teams to enable cloud-native development patterns, • Implement monitoring, logging, and alerting for improved visibility, • Create reusable modules and deployment patterns, • Contribute to continuous improvement of platform performance, security, and scalability Requirements • Strong experience working with AWS in a platform or DevOps capacity, • Hands-on experience with Terraform (or similar IaC tools), • Experience with Kubernetes and containerised environments, • Solid understanding of CI/CD pipelines and automation practices, • Experience working in collaborative, cross-functional engineering teams, • Strong problem-solving mindset with a focus on reliability and scalability Location: Remote (UK-based) Salary: Up to £90k Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k

📍 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.

📍 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

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

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

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

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

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance., • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes JBRP1_UKTJ

The role: This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the Cloud & Platform Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities: * Design, deploy, and support integrated system and application solutions across physical, virtual, and cloud environments through CI/CD pipelines * Work with engineering teams to translate operational and technical requirements into implementable system architectures and solution designs * Support the deployment, configuration, and integration of systems and applications within development and operational environments * Ensure system solutions meet performance, reliability, security, and interoperability requirements across platforms and environments * Act as the technical liaison between engineering teams and supply chain partners, ensuring technical specifications, standards, and integration requirements are clearly communicated and understood * Support supplier engagement by reviewing technical proposals, validating solution compatibility, and assisting with integration planning * Coordinate with engineering and supply chain teams to ensure delivered components and systems meet required technical and operational specifications * Support and conduct system testing, validation, and troubleshooting to ensure successful deployment and operational readiness * Collaborate with cross-functional teams including software engineers, network engineers, architects, and programme teams to support system delivery * Support the integration of third-party technologies and vendor solutions into the broader systems architecture * Contribute to the development and maintenance of technical documentation, including design documentation, integration guides, and deployment procedures * Maintain awareness of emerging technologies and tools that could enhance system performance, integration, or operational capability * Any other duties required to meet the needs of the programme Who we are looking for: We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You won't necessarily have a military background, but you'll understand what it means to serve and to put the mission first. The OMNIA Systems Solutions Engineers will be responsible for responsible for the discovery, deployment and integration of a wide range of applications, bespoke technology and solutions in relations to cloud platforms and modelling & simulation for the Army Collective Training Service (ACTS). Responsible to the Cloud & Platform Lead, this position will be critical to the successful technology and interoperability of the entire solution. The position is suited to an all-round engineer who thrives on the challenge of tackling integration and deployment wide range of solutions across a broad spectrum of technologies, including simulation systems. This position requires a customer first mindset, strong stakeholder engagement skills, and the ability work in a multidisciplinary engineering team in a complex and evolving environment. Essential Skills and Experience: * Engineering background with a degree in a relevant discipline or equivalent professional experience * Proven experience designing, deploying, and supporting integrated systems and application solutions across hybrid environments (cloud and on-premise) * Strong understanding of systems integration principles across software, infrastructure, and networking layers. * Ability to translate operational and technical requirements into practical system architectures and deployment plans. * Experience supporting technical deployments within structured delivery environments (e.g. Agile or SAFe). * Strong analytical and problem-solving capability with experience diagnosing complex system issues * Understanding of system security principles and governance requirements * Experience designing and deploying containerised solutions using orchestration technologies (e.g. Docker, Kubernetes) * Experience implementing CI/CD pipelines and DevOps tooling (e.g. GitHub, ArgoCD, Helm, Maven, SonarQube, Quay or equivalent) * Experience using monitoring and observability platforms (e.g. Prometheus, Fluentd, ELK stack, Grafana) * Experience integrating and supporting database solutions (e.g. MongoDB, PostgreSQL, MSSQL) * Experience deploying and operating systems within cloud platforms such as Azure or AWS * Experience supporting system testing, validation, and troubleshooting during deployment and operational phases * Holds, or is eligible to obtain, UK Security Clearance (SC) Desirable Skills and Experience: * Experience working with Red Hat OpenShift and Ceph storage platforms * Programming experience (e.g. Python, JavaScript) * Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) * Experience delivering multi-system integration projects within defence, government, or highly regulated environments. * Experience implementing and configuring training simulation technologies across Live, Virtual, and Constructive (LVC) environments * Experience working with external suppliers and vendors to deliver integrated technical solutions, including reviewing technical documentation to ensure alignment with system/architecture requirements and standards * Experience supporting procurement or supply chain teams by translating technical specifications and integration requirements * Understanding of interoperability standards or integration frameworks used within enterprise or defence systems Benefits and Work Culture Benefits * Competitive salaries. * 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) * Contributory Pension Scheme (up to 10.5% company contribution) * Company bonus scheme (discretionary). * 6 times salary 'Life Assurance' with pension. * Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. * Enhanced sick pay. * Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. * Car / Car allowance (dependant on grade/ role) * Private Medical Insurance (dependant on grade) Work Culture * 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. * Early 1.30pm finish Friday, start your weekend early! * Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. * A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. * Up to 5 paid days volunteering each year. JBRP1_UKTJ

The Role: Head / Director Storage Principal Engineer Location: Sheffield, UK Position Type: Contract Inside IR35 Implementation Partner – HSBC Remote work option Available: Hybrid – 3 Days Onsite Job Description: Key Responsibilities: Strategic Leadership: • Develop and maintain the long-term strategy for storage infrastructure, ensuring alignment with the bank’s overall IT and business strategies. • Function as a subject matter expert and advisor on all matters related to storage technologies, providing guidance to senior leadership and IT teams. Architecture & Design: • Lead the design and architecture of the bank’s storage solutions, including SAN, NAS, object storage, and cloud-based storage systems. • Ensure the scalability, reliability, and performance of storage systems to meet the bank’s growing data needs. Implementation & Management: • Oversee the deployment, configuration, and management of enterprise storage solutions. • Ensure effective data protection strategies, including backup, recovery, and disaster recovery, are in place and regularly evaluated. Optimization & Performance Tuning: • Continuously monitor and optimize storage performance, capacity, and utilization. • Lead initiatives to automate storage management tasks and improve operational efficiency. Security & Compliance: • Ensure storage system...

REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match. The Pyrometry Engineer is the site's technical authority for AMS2750 compliance and all heat-treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations. Key Responsibilities • Lead site-wide compliance with AMS2750 and pyrometry standards., • Manage the Thermocouple Laboratory, including technicians, processes, and inventory., • Govern thermocouple selection, calibration, traceability, and deployment., • Direct and approve all TUS, SAT, and furnace calibration activities., • Maintain and approve all calibration documentation and certifications., • Develop and control pyrometry procedures, quality standards, and technical documentation., • Provide expert guidance for furnace troubleshooting, root-cause analysis, and NCRs., • Support internal, customer, and third-party audits as the site pyrometry SME., • Drive continuous improvement in furnace reliability, process capability, and operational efficiency., • Influence long-term thermal processing strategy across cross-functional teams., • Expert knowledge of AMS2750, pyrometry, and heat-treatment standards., • Strong background in metallurgy and heat-treatment science., • Deep understanding of thermocouple technologies and furnace control systems., • Skilled communicator able to influence senior stakeholders., • Proven capability in structured problem-solving and risk assessment. xrnqpay, • Strong knowledge of AMS2750 and thermal processing standards, • Understanding of metallurgy and heat-treatment effects on materials, • Experience with thermocouples, calibration methods, and temperature-measurement systems, • Ability to set up temperature-monitoring equipment and collect accurate data, • Clear communicator able to influence stakeholders and write precise procedures, • Skilled in risk assessment, root-cause analysis, and problem-solving, • Quality-focused with a strong compliance mindset, • Able to work safely and effectively in a heavy-engineering environment

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

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

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.

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

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

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.

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

REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company The Pyrometry Engineer is the site's technical authority for AMS2750 compliance and all heat‑treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations. Key Responsibilities Lead site-wide compliance with AMS2750 and pyrometry standards. Manage the Thermocouple Laboratory, including technicians, processes, and inventory. Govern thermocouple selection, calibration, traceability, and deployment. Direct and approve all TUS, SAT, and furnace calibration activities. Maintain and approve all calibration documentation and certifications. Develop and control pyrometry procedures, quality standards, and technical documentation. Provide expert guidance for furnace troubleshooting, root‑cause analysis, and NCRs. Support internal, customer, and third‑party audits as the site pyrometry SME. Drive continuous improvement in furnace reliability, process capability, and operational efficiency. Influence long‑term thermal processing strategy across cross‑functional teams. Promote strong safety, environmental, and quality governance in a heavy‑engineering setting.Skills & Experience Expert knowledge of AMS2750, pyrometry, and heat‑treatment standards. Strong background in metallurgy and heat‑treatment science. Deep understanding of thermocouple technologies and furnace control systems. Skilled communicator able to influence senior stakeholders. Proven capability in structured problem‑solving and risk assessment. Strategic thinker with a strong compliance and operational mindset.Essential Skills Strong knowledge of AMS2750 and thermal processing standards Understanding of metallurgy and heat‑treatment effects on materials Experience with thermocouples, calibration methods, and temperature‑measurement systems Ability to set up temperature‑monitoring equipment and collect accurate data Clear communicator able to influence stakeholders and write precise procedures Skilled in risk assessment, root‑cause analysis, and problem‑solving Quality‑focused with a strong compliance mindset Able to work safely and effectively in a heavy‑engineering environment

Are you an experienced Network Installation or Exchange Engineer looking to join one of the UK's most exciting large‑scale fibre deployment programmes? Our client - a rapidly growing technology provider - is rolling out next‑generation dark fibre infrastructure across major UK cities, and we are supporting their search for skilled engineers to join their field‑based delivery team. This role is perfect for engineers with a strong background in BT Exchanges, datacentres, telecoms infrastructure, fibre installation, and commissioning. The Role As a Network Installation Engineer, you'll be responsible for the installation, configuration, and commissioning of core network infrastructure within BT Exchanges and datacentres, delivering dark fibre circuits through to live service. You'll work hands‑on with fibre infrastructure, patching, testing and validating circuits, ensuring installations are delivered safely, accurately, and to the highest standards. Key Responsibilities Installation & Commissioning Install, configure and patch core network equipment as part of a national dark fibre rollout. Work inside BT Exchanges and datacentre environments following method statements and technical documentation. Deliver end‑to‑end dark fibre circuits through to service handover.Fibre & Infrastructure Conduct fibre inspections, patching, and testing (continuity, errors, length, loss). Diagnose and rectify on‑site fibre faults. Ensure high‑quality fibre labelling, management and housekeeping.Operations & Delivery Complete installation, commissioning and test documentation accurately. Carry out detailed site surveys and produce clear, structured reports. Liaise with PMs, NOC, and third‑party suppliers. Maintain tools, PPE, and manage vehicle stock. We're looking for engineers with: Proven experience in network installation/commissioning within telecoms, ISP or infrastructure environments. Hands‑on experience working in BT Exchanges. Solid understanding of fibre optics, loss budgets, and signal integrity. Experience with: Fibre patching, cabling, labelling & management Fibre documentation & schematic interpretation Familiarity with carrier‑grade hardware such as Edgecore, Opengear, APC, MikroTik. A proactive mindset with strong problem‑solving skills. Ability to work independently across changing field locations. Full, clean UK driving licence. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV