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Position: Back-End Development Lead Location: UK – Fully Remote Salary: £70,000 - £80,000 We’re working with a forward-thinking technology-led organisation that’s looking to hire a Senior Back End Developer to join one of their high-performing engineering teams. This is a great opportunity for someone who is passionate about building scalable software, enjoys mentoring others, and wants to play a key role in shaping backend architecture within a modern, agile environment. The Business places a strong emphasis on continuous improvement both technically and culturally and encourages engineers to explore new technologies, challenge existing ways of working, and contribute to the evolution of their engineering practices. The Role You'll be leading one of our three product squads a multi-skilled team usually consisting of Back End, Front-End, QA, UX Designers, Content Creators, and a Product Manager, supported by other leads and Staff Engineers. You will be part of a Product focussed Technical squad, where the squad is responsible for building, delivering and maintaining fantastic software. This means you will be involved in all stages of your lifecycle from the initial discovery, through planning, build, release and monitoring. You'll be part of all the usual Agile ceremonies and as a team, you will be delivering great new functionality over two-week sprints. When it comes to culture we really try to build happy, cohesive, performant teams that pull together. Each squad feels a real sense of ownership over their work. Building an environment based on trust and honesty is really important to us if something's not right you can be sure your voice will be heard and people will care about what you have to say. As a lead backend engineer, your time will be split between coaching other backend developers within the team, steering our backend architecture and providing oversight on the back end tasks for our backlog items delivering some independently and some through coaching others. As we work in multidisciplinary squads, ideally you will also be able to support others doing Front End, QA, DevOps (etc) work to make sure we hit our sprint goals. Your new development will be done within a Microservices architecture, but you will also be contributing to our legacy systems while we are in the transition period. Our stack runs on Azure including Front Door, App Services, Application Insights, and App Configuration with SQL Server and Cosmos DB for data and Azure Service Bus for messaging between services. Outside of squad work you will be part of the Back End Chapter. We hold Chapter meetings to talk about tech and ways of working. We work democratically to evolve our stack and make constant improvements. Required Skills/Experience • Strong C# development experience, • Experience with both .NET Core and .NET Web API, • Experience of building Microservices in .Net Core, • Experience using Message Based Architectures, • Experience using both SQL & NoSQL technologies, • Experience of API design, • Cloud development/architecture (Azure), • Experience working in an Agile environment (Scrum/Kanban), • Knowledge and experience of Unit Testing (xUnit, nUnit), • Experience integrating AI/LLM capabilities into back-end services (e.g. OpenAI, Azure OpenAI, or similar APIs) Desired Skills/Experience • Experience of TDD practices, • DevOps (CI/CD, Pipelines, Infrastructure-as-Code), • Experience managing a team of developers, • Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar), • Familiarity with modern UI frameworks and tooling (React, React Native, npm), • Experience working with Azure DevOps build and release pipelines Core Values • An excellent communicator and relationship builder, • Confident in providing technical guidance and mentoring to mid-level and junior developers, • Enjoys bringing clarity to situations then helping others to take ownership, • Role-models curiosity, open-mindedness, honesty, and transparency, • Advocacy for great engineering practices around the Digital & Technology team, • Actively keeps up to date with modern tools, frameworks, and industry trends and brings new thinking back to the team Senior Developer - Development Lead - Development Manager - Fully UK Remote

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Retrospective reviews Working with the Technical Data Engineers Technical Team deliverables and leading by example: • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

• Senior Infrastructure Engineer, • Contract Length: 11 months, • Working Pattern: Hybrid (2 days per week in the office), Newcastle, • £600 per day Inside IR35, • Security Clearance: Active SC Clearance required Our client is seeking an experienced Senior Infrastructure Engineer to join their team on a large-scale enterprise network and cloud-integrated infrastructure modernisation programme. As a Senior Infrastructure Engineer, you will be a hands-on specialist, playing a key role in both the design and delivery of robust, scalable network solutions. You will be instrumental in driving long-term platform improvements while supporting critical business services. Key responsibilities: • Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments, • Build and maintain secure hybrid connectivity across Azure, AWS, and OCI, • Develop and maintain network automation using Python, Ansible, and Infrastructure as Code, • Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction, • Implement and manage Palo Alto firewall policies across on-premise and cloud environments, aligned to Zero Trust principles Essential Skills • Active Security Clearance (SC) – must have, • Strong experience in enterprise networking engineering, • Proven network automation experience using Python, Ansible, or similar tooling, • Hands-on cloud experience with at least one provider (Azure, AWS, or OCI), • Demonstrable track record as a Network / Infrastructure Engineer within large-scale enterprise environments

Do you want to productionise end-to-end enterprise GenAI systems? Have you built scalable ML platforms and MLOps infrastructure in production? Are you ready to establish ML Engineering capability inside a business heavily investing in AI? A large UK professional services organisation is building out its ML Engineering capability and hiring a Lead Machine Learning Engineer to help shape the function from the ground up. This is a hands-on role focused on production AI systems, MLOps, cloud ML infrastructure, and enterprise GenAI deployment. Current projects include large-scale document AI workflows using LLMs to process and structure complex documents. Key responsibilities: • Productionise LLM and GenAI systems, • Build scalable MLOps and deployment pipelines, • Develop AI infrastructure in Azure and Databricks, • Create data pipelines for enterprise AI workflows, • Work closely with DS teams and business stakeholders Key details: • £90k + ~10% bonus, • Essentially remote across the UK, • 35-hour week with flexible hours, • Stack: Azure ML, AI Foundry, Databricks, Python, FastAPI, • 12-month FTC with strong chance of permanent conversion, • Cannot sponsor Requirements: • 7+ years across MLE/MLOps/Data Engineering/SWE, • Production ML deployment experience, • LLM/NLP/GenAI exposure, • Strong stakeholder management and independent delivery skills Interested? Please apply below.

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up. This isn’t your standard contract its a leadership role so definitely won’t suit everyone... 👀 🔥 Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months 🔥 From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward, tooling, architecture, strategy and team build included 🔥 Huge opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous experience building, leading or mentoring Data Engineering teams What’s in it for you? 👇 📍 Day Rate £600p/d | Outside ir35 📍 Remote - Must be UK based 📍 Opportunity to kick off a greenfield build Interested? Drop me a message or email: 📩 p.rainford@g-digital.co.uk #DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring

The Opportunity Atrom Mindcare is building the next generation of mental healthcare delivery. We're a UK based Mental Healthcare provider operating at the intersection of NHS, insurance, and private care, with a clear thesis: that mental healthcare can be delivered more thoughtfully, more efficiently, and at a higher quality than the legacy systems most of the sector still relies on. We're now looking for a Senior Engineering Lead to help us build the platform that makes this possible. What we are building We're on a mission to make the patient journey smoother and swifter while also enabling the clinicians to be able to make full use of technology to deliver high standards of care - a unified seamless platform that: • Handles the full referral lifecycle from intake to clinical decision, • Uses AI thoughtfully — to augment clinical and administrative judgement, not replace it, • Maintains rigorous audit trails and meets the highest standards of healthcare data protection, • Integrates with existing (internal and external) clinical systems rather than replacing them, • Scales as we grow without losing the careful clinical attention that defines good mental healthcare Some foundational work is already in place. The next phase needs someone who can take this from "good start" to "real platform." The Role You'll be the senior technical voice at Atrom — owning the architecture, leading the build, and shaping where the platform goes next. This isn't a job where someone hands you a detailed spec. It's a role where you help define what we're building, then make it real. Your work will include: • Architecture and direction — making the strategic technical decisions that determine what's possible, • Hands-on delivery — you'll build significant components yourself, not just direct others, • Quality and standards — establishing how we build, test, secure, and ship, • Healthcare context — understanding what makes clinical software different from generic SaaS, • Working with founders — directly with the CEO (operational strategy) and Clinical Director (medical reality) You'll inherit some good foundations: existing infrastructure, a working prototype, clear strategic direction. What you bring is the experience to make this into a platform that genuinely changes how mental healthcare is delivered. What we are looking for You're probably right for this if: • You've delivered platform-scale software before (not just features within someone else's platform), • You're comfortable with Microsoft Power Platform, Azure services, and modern integration architectures — or you've built equivalent capability on adjacent stacks and are happy moving into ours, • You understand AI as a tool you've actually deployed in production, not a buzzword, • You have an instinct for security, privacy, and audit — particularly in regulated contexts, • You write code well and lead other engineers well, • You communicate clearly in writing (we're remote-async-first), • You're drawn to mission-driven work — mental healthcare isn't an industry you stumble into You're probably not right for this if: • You're looking for a defined task list and step-by-step directions, • You want to be insulated from the business or clinical context, • Healthcare regulation feels like a hassle rather than something to engineer around respectfully, • You'd rather work on consumer apps or enterprise SaaS where the stakes are lower What we offer • Competitive salary — we'll match the market for the right person at this level, • Real ownership — of the technical direction, not just the codebase, • Direct work with the founders — no layers, no committees, • Genuine impact — what you build affects real patients and clinicians, • Remote-first flexibility — work when and where you work best, • Modern stack — Azure, Power Platform, OpenAI, current tooling, • Growth opportunity — as Atrom grows, this role grows with it About Atrom Mindcare We were founded in 2023 by Amrish Gupta (CEO) and Dr Aarohee Desai-Gupta (Clinical Director, Consultant Psychiatrist). We specialise in outpatient mental health, including ADHD and ASD assessment and treatment, delivered through both NHS Right to Choose and private channels. We're growing rapidly, operating in a market where demand vastly outstrips quality supply, and we're investing in our platform because we believe technology done right is how mental healthcare moves forward. We're small enough that you'll see your work matter, structured enough that you'll have what you need to do your best work, and ambitious enough that this is a meaningful career move for the right person. How to apply If this resonates, we'd love to hear from you. Send us: • A brief note about why this opportunity interests you, • Your background — link to LinkedIn, GitHub, portfolio, or a CV, • Examples of platform-scale work you've led, • A few questions you'd ask us (this tells us more than most CVs do) Apply via • LinkedIn message to Amrish Gupta, • Email: contact@atrommindcare.com Strong fits will be invited to a conversation rather than a structured interview — we want to understand each other before deciding. Atrom Mindcare Limited is an equal opportunities organisation. We welcome applications from candidates of all backgrounds and particularly encourage those underrepresented in healthcare technology to apply.

Software Engineer About Bamboo Rose At Bamboo Rose, we’re building the world’s leading collaborative product development and supply chain platform for global retail. Our technology helps retailers and brands bring great products to market faster, smarter, and more sustainably. We’re a team that values curiosity, craftsmanship, and collaboration and we’re looking for people who love to solve complex, real-world problems and make an impact across global supply chains. About the Role Bamboo Rose is expanding the engineering team for our newly integrated Plan solution. We are seeking an Intermediate Full Stack Software Engineer with a strong emphasis on front-end development to Improve the user experience and contribute to the evolution of our enterprise planning product. You will work as part of a collaborative R&D team focused on delivering high-quality features, and developing the client architecture using the latest UI patterns. Key Responsibilities Front-End & Full Stack Development • Develop high-quality front-end features using Angular best practices., • Collaborate with UX and backend engineering to enhance usability, performance, and consistency across the platform., • Design & Collaborate on .NET services to deliver application features., • Participate in the entire SDLC—from requirements through deployment and support., • Work with engineering leadership to evaluate and implement new UX patterns. Cross-Functional Collaboration & Support • Partner with Implementation, Consulting, and Support teams to resolve complex issues across the stack., • Collaborate with product & design teams to transition requirements to clear solution statements of work, • Provide clear and accurate documentation and technical definitions., • Provide 3rd-line support for customer projects as needed. Technical Skills & Experience Essential • Degree or equivalent level qualification, • Strong experience with the Angular 16+ (minimum), 20+ (ideal) and front-end engineering best practices., • Strong knowledge of Typescript and RxJS., • Working knowledge of C#, .NET, and backend service integration., • Strong problem-solving and debugging skills across the stack., • Commercial use of AI assisted development. Desirable • Experience of Angular state management libraries, NgRX (or any redux pattern library), • SQL (MS Sql Server / Postgres), • Exposure to Azure, cloud services, distributed architectures., • Agile sprint methodology, • CSS utilities such as Tailwind Why You’ll Love working here Real Impact: Ship features that directly support global retailers and deliver immediate customer value. Strong Engineering Culture: Work with technical leaders who value clean code, good architecture, and strong problem-solving. Challenging Problems: Tackle meaningful technical work across the stack—UI, services, data, and distributed systems.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

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.

Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose As a Senior Software Engineer, you will be a technical leader within your team, responsible for delivering complex full-stack web applications, serving millions of users, driving technical excellence, and mentoring other engineers. You'll be expected to bring commercial awareness to every technical decision, understanding that the best solution is the one that delivers value to customers and the business, not just the most elegant one. You will work hands-on with cutting-edge UI frameworks, .NET Core backends, and cloud-native technologies while contributing to architectural decisions and ensuring high-quality software delivery across containerised, scalable web products. Key Responsibilities Technical Delivery • Design and deliver complex, scalable systems (multi-service integrations, high-traffic APIs, data processing pipelines) that anticipate edge cases, scalability issues, and long-term maintainability, • Own large features or entire components across their complete lifecycle from conception to production support, • Make commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purity, • Lead technical discussions and influence architecture decisions within team systems and components, with authority over component-level technical choices and escalation path to Engineering Lead for cross-team impacts, • Drive technical excellence by establishing architectural patterns, standards, and best practices that others can follow, • Ensure knowledge transfer and documentation for owned systems to enable team continuity Collaboration & Communication • Lead with AI-first practices by actively drive AI-led ways of working within the team, using tools such as Cursor, Copilot, and Claude Code as a core part of how you design, build, and ship, while bringing others along on that journey, • Lead story refinement sessions with Product Owners, providing technical expertise for estimation and risk assessment, • Partner with cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives, • Influence technology choices based on deep technical understanding and business context, • Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability, • Proactively identify and inspire resolution of technical debt and system improvements Quality & Standards • Champion comprehensive quality practices including TDD/BDD standards, automated testing strategies, and shift-left testing, • Lead security implementation across complex features establish security practices and conduct comprehensive security reviews, • Establish development tooling and practices used consistently within the team, • Lead troubleshooting efforts for complex software issues and production incidents, • Establish documentation standards for complex team systems and drive knowledge transfer practices across team deliverables Growth & Development • Mentor junior and mid-level engineers actively to raise team capability and technical standards, • Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables, • Drive continuous improvement and champion responsible AI adoption with team governance practices Required Experience & Skills Technical Skills • Frontend Development: Strong proficiency with modern UI frameworks (e.g. Angular, React, Vue.js, Blazor) including performance optimisation and component architecture OR working knowledge with focus on backend specialisation, • Backend Development: Strong proficiency with .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL and data architecture decisions., • AI-Assisted Software Engineering: Actively engaged in AI-first ways of working by showing a genuine shift in how you approach design, development, and problem-solving with AI as a core part of the workflow, not just a productivity add-on., • Experienced integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) into engineering practices to accelerate design, development, testing and debugging, using them critically and responsibly to improve quality, productivity and decision-making., • Observability: Advanced DataDog, Application Insights or Amazon CloudWatch implementation with performance tuning and cost optimisation, • Infrastructure as Code: Infrastructure as Code with either Terraform, Bicep, ARM Templates or AWS CloudFormation/CDK, • CI/CD Design: Design comprehensive CI/CD architectures for team deliverables, establish deployment strategies, and optimise pipeline performance for team efficiency, • Cloud Architecture: Strong proficiency in SaaS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) services, infrastructure design, and performance tuning, • Container Orchestration: Strong containerisation (e.g. Docker) or Kubernetes (AKS/EKS) experience with production-scale deployments, • Architecture Expertise: Expertise in clean architecture principles, SOLID design patterns, and domain-driven design, • Quality & Testing: Drive TDD/BDD adoption in team testing strategy and quality governance, and implement comprehensive automated testing with continuous improvement, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Performance & Scalability: Profiling and benchmarking applications., • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices. Proficient in debugging complex issues, performance optimization, and production troubleshooting Experience Requirements • 5-7 years of professional software development experience, • Proven ability in delivering complex, multi-system solutions, • Experience working with highly scalable, internet-facing solutions serving millions of users, • Demonstrated technical leadership through architecture decisions, technical mentoring, and cross-team collaboration, • Track record of driving technical excellence, establishing standards, and influencing technology choices, • Active mentoring experience with junior and mid-level engineers, • Experience leading technical initiatives that span multiple sprints or quarters Soft Skills • Commercially aware and outcome-oriented — understands that engineering decisions exist within a business context, and prioritises delivery and customer value over technical perfection, • Demonstrates resilience and adaptability in the face of changing priorities or commercial commitments — able to pivot without losing quality or motivation, • Strong analysis and problem-solving skills for troubleshooting technical issues, • Excellent verbal and written communication skills with ability to explain technical concepts to non-technical stakeholders, • Technical leadership and influencing skills without formal authority, • Ability to utilise technical skills to develop and coach others through mentoring and knowledge sharing, • Collaborative approach and ability to work as part of wider Engineering, Platform and Quality teams, • Conflict resolution skills for technical disagreements and cross-team coordination, • Genuinely curious and AI-forward by continuously evolving how you work, with AI tooling as a natural part of your day-to-day, not an afterthought Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience designing high-quality AI interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows, • Expertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting (or similar observability platform), • Expertise with modern UI architecture patterns (micro-frontends, SSR/SSG), • Knowledge of security best practices and compliance requirements (OAuth2, OIDC, RBAC), • Experience with event-driven architectures, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS

Principal Data Engineer Location: Newcastle / Manchester / Leeds / Southwest England | Hybrid with regular client-site travel Salary: £100,000 - £140,000 Security Clearance: Eligible for UK SC clearance required Employer Overview Our client is a fast-growing technology consulting business operating in demanding defence, financial services, and private capital environments. The firm is built for high-trust, high-impact delivery, combining deep engineering capability with a pragmatic consulting approach. It is backed by two major global businesses and is scaling its defence engineering capability through 2026. Role Context This is a Principal-level data engineering role for someone who can design, build, and improve data-intensive applications and pipelines in complex, security-sensitive environments. The work sits at the intersection of engineering quality, client delivery, and modern data platform capability, with direct exposure to high-stakes programmes across the UK defence sector. The successful candidate will bring strong technical judgement, communicate well with senior stakeholders, and operate with the ownership expected in a smaller, fast-moving consulting environment. Key Responsibilities • Design and build reliable data pipelines and data-intensive applications for complex client environments., • Develop in Python and SQL, with appropriate use of Spark, Databricks, cloud services, and orchestration tools., • Test, troubleshoot, and continuously improve data products to strengthen reliability, quality, and performance., • Work closely with clients and internal teams to translate business needs into robust engineering solutions., • Contribute to architecture conversations and support the use of AI-assisted engineering practices where appropriate. Candidate Profile / Technical Skillset • Strong principal-level data engineering background, ideally gained in a consulting or client-facing environment., • Must currently be from, or have most recent experience in, a global top 300 company., • Proven delivery of data platforms, pipelines, and modern engineering solutions in complex environments., • Hands-on experience with Python, SQL, and one or more of Spark, Databricks, AWS, Azure, GCP, or Airflow., • Eligible for UK SC clearance and comfortable with regular UK travel, including defence sites. We are specifically looking for candidates from a global top 300 company, with the discipline and standards associated with that background. An interest in AI, architecture, and modern engineering practice will be an advantage. Benefits Summary The package is £100,000 to £140,000, with strong ownership from day one, high-impact projects, and the opportunity to help shape a growing defence capability. The role offers real technical responsibility, visible delivery outcomes, and substantial scope for development. • Significant ongoing investment., • Strong ownership and end-to-end engineering responsibility., • Opportunity to join a rapidly growing defence engineering capability. How to Apply? Please apply with a CV that clearly reflects the required data engineering experience, consulting exposure, security eligibility, and background from a global top 300 company.

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

About Princeton Biopartners Princeton Biopartners is a best-in-class strategy consulting and AI software firm serving the global life sciences sector. We partner with Fortune 500 biopharmaceutical companies on high-impact strategic initiatives, combining advisory expertise with proprietary software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. We’re a tech and AI-first firm, and AI fluency is expected in how we build, operate, and deliver. Princeton Biopartners was recently recognized with the “Evidence Generation Software of the Year 2026” award by Life Sciences Review for our innovation in AI-enabled evidence generation and planning solutions. Learn more about our culture here: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s The Role We are hiring a full-time Full Stack Software Engineer to help build the next generation of AI-enabled software products supporting evidence generation, medical strategy, and pharmaceutical decision-making. This is a high-ownership role within a fast-growing entrepreneurial company operating at the intersection of strategy consulting, healthcare, and AI. You will work directly with senior leadership, engineers, consultants, and pharmaceutical stakeholders to shape and build products used by leading global biopharma organizations. Our engineers are not siloed away from the business. They operate close to strategic problems, influence product direction, and contribute directly to systems that support real-world healthcare decision-making. Your work will be visible from day one, and you’ll have significant influence over the products, workflows, and infrastructure we build. We look for engineers who are genuinely self-directed, highly accountable, and energized by solving problems without waiting for instructions. You’ll grow faster here than you would in a traditional large-company environment, but we also operate with a very high performance bar and expect exceptional attention to detail and ownership. What We’re Looking For • UK-based (mandatory, remote role), • Minimum 1 year of full-time experience in a software engineering, startup, or technology role required, • Degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related STEM discipline from a top-tier institution such as Oxford, Cambridge, Imperial, or an Ivy League university, • AI-native and fluent in modern AI-assisted software development workflows, • Exceptional ownership mentality with strong accountability and follow-through, • Highly proactive self-starter capable of operating autonomously in a fast-paced environment, • Comfortable operating in ambiguity and translating loosely defined problems into pragmatic technical solutions, • Strong product intuition and ability to balance speed, quality, and practicality, • High attention to detail and commitment to delivering polished, production-quality work, • Strong communication skills and ability to collaborate directly with senior stakeholders Key Responsibilities • Design and build modern full stack applications supporting AI-enabled healthcare and evidence-generation workflows, • Develop scalable frontend and backend systems using modern frameworks and cloud infrastructure, • Leverage AI tools and copilots to accelerate development speed, testing, debugging, and prototyping, • Collaborate closely with consultants and leadership to rapidly translate business problems into software solutions, • Help shape the architecture, tooling, workflows, and engineering standards underpinning our AI platform, • Contribute to product direction, feature prioritization, and user experience decisions, • Build internal tools, dashboards, automation systems, and client-facing applications, • Maintain clear technical documentation and structured engineering practices Technical Skills • Strong experience with modern web technologies (React, TypeScript, Node.js, Next.js, APIs, CSS frameworks), • Proficiency in Python strongly preferred, • Solid understanding of software engineering fundamentals, architecture, data structures, and system design, • Experience using GitHub, CI/CD workflows, and cloud infrastructure, • Familiarity with Azure is a plus, • Bonus: experience with AI tooling, LLM integrations, vector databases, data engineering, or healthcare/life sciences data What We Offer • Significant ownership and autonomy from day one, • Opportunity to shape the direction of products deployed within leading global biopharma organizations, • Direct exposure to senior pharmaceutical, consulting, and technology leadership, • Fast career progression within a high-growth AI and strategy firm, • Flexible remote working environment, • Access to premium London workspaces and members clubs, • Competitive compensation, commensurate with experience, • Opportunity to become an early core team member helping shape the future of the business Equal Opportunity Princeton Biopartners is committed to building a diverse and inclusive team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related conditions), sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Principal Full-Stack Engineer (Java,React,LLMs) Hello from RE Partners! Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals. The 3 G’s of RE: “Get Shit Done.” “Get Over Shit.” “Give a Shit.” Principal Full-Stack Engineer (Java,React,LLMs) We’re hiring a Principal Full-Stack Engineer to join one of the largest banking institutions in the U.S. - a highly complex, high-impact environment where engineering decisions truly matter. This role is ideal for someone who combines deep backend expertise in Java with strong frontend capabilities in React, and hands-on experience working with LLMs (Claude preferred). What you’ll be doing: • Lead the design and development of scalable backend services in Java (Spring Boot), • Build and optimize secure, high-performance APIs, • Contribute to and guide React-based frontend architecture, • Work hands-on with LLM/AI technologies (Claude or similar), integrating them into real-world applications, • Drive best practices across code quality, architecture, and performance, • Mentor engineers and support UI developers in delivering high-quality solutions, • Partner with stakeholders to translate business needs into technical execution, • Contribute to system design discussions, code reviews, and continuous improvement What we’re looking for: • Strong experience in Java backend development and server-side architecture, • Solid React experience on the frontend, • Hands-on experience with LLMs / AI tools and practical implementation, • Experience designing and building scalable, distributed systems, • Strong understanding of APIs, databases, and performance optimization, • Proven ability to lead technically and mentor others Nice to have: • Experience with GraphDB, Scala, or complex data processing systems, • Exposure to cloud platforms (AWS, Azure, or GCP), • Familiarity with CI/CD pipelines and DevOps practices Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Principal Full-Stack Engineer (Java,React,LLMs) Hello from RE Partners! Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals. The 3 G’s of RE: “Get Shit Done.” “Get Over Shit.” “Give a Shit.” Principal Full-Stack Engineer (Java,React,LLMs) We’re hiring a Principal Full-Stack Engineer to join one of the largest banking institutions in the U.S. - a highly complex, high-impact environment where engineering decisions truly matter. This role is ideal for someone who combines deep backend expertise in Java with strong frontend capabilities in React, and hands-on experience working with LLMs (Claude preferred). What you’ll be doing: • Lead the design and development of scalable backend services in Java (Spring Boot), • Build and optimize secure, high-performance APIs, • Contribute to and guide React-based frontend architecture, • Work hands-on with LLM/AI technologies (Claude or similar), integrating them into real-world applications, • Drive best practices across code quality, architecture, and performance, • Mentor engineers and support UI developers in delivering high-quality solutions, • Partner with stakeholders to translate business needs into technical execution, • Contribute to system design discussions, code reviews, and continuous improvement What we’re looking for: • Strong experience in Java backend development and server-side architecture, • Solid React experience on the frontend, • Hands-on experience with LLMs / AI tools and practical implementation, • Experience designing and building scalable, distributed systems, • Strong understanding of APIs, databases, and performance optimization, • Proven ability to lead technically and mentor others Nice to have: • Experience with GraphDB, Scala, or complex data processing systems, • Exposure to cloud platforms (AWS, Azure, or GCP), • Familiarity with CI/CD pipelines and DevOps practices Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Infrastructure & Enterprise Systems Engineer – London Expedia Group are hiring for an experienced Infrastructure & Enterprise Systems Engineer to help modernize and secure the enterprise end-user computing environment. This role is ideal for an engineer with strong hands-on experience in secure enterprise browser management, modern Windows endpoint administration, and Azure Virtual Desktop. A strong background in secure browser platforms is essential, and experience with Island Browser is highly preferred. You will play a key role in designing, administering, and hardening the browser and virtual desktop experience for enterprise users, while also driving automation, operational excellence, and continuous service improvement. This position combines engineering depth, operational ownership, and a security-first mindset. You will work across endpoint management, browser policy, identity and access controls, virtual desktop environments, and automation to improve user experience, compliance, and resilience. • Secure Enterprise Browser Management: Administer and support enterprise browser environments with a focus on secure browsing, data protection, and policy enforcement. Manage and harden browser configurations across platforms using tools such as Intune, Group Policy, MDM, and browser management consoles, • Implement and maintain browser security controls including extension governance, certificate management, authentication controls, and secure access policies, • Support browser-based identity and access integrations including SSO, SAML, OAuth, and related authentication mechanisms., • Partner with security and infrastructure teams to ensure browser configurations meet enterprise compliance and risk requirements, • Azure Virtual Desktop & Modern Workspace Engineering, • Windows Endpoint & Core Infrastructure Support, • Automation & Operational Improvement: Explore practical uses of AI-driven operations and automation where they can improve efficiency, incident response, or system insights Essential: • Experience in infrastructure engineering, IT operations, systems administration, or a related enterprise engineering role, • Strong hands-on experience in secure enterprise browser management, • Experience managing browser policies, security configurations, and enterprise access controls in a regulated or security-conscious environment, • Experience supporting Microsoft Azure Virtual Desktop in an enterprise setting, • Strong knowledge of Windows endpoint and server administration, • Experience with Intune, Group Policy, Active Directory, and enterprise identity management concepts, • Solid understanding of networking fundamentals including TCP/IP, DNS, and DHCP, • Hands-on scripting experience with PowerShell for automation and operational support, • Proven ability to troubleshoot complex cross-platform issues in dynamic enterprise environments, • Direct experience with Island Browser – nice to have, • Experience with modern secure browser platforms and enterprise browser isolation or hardening strategies, • Microsoft Azure certifications such as AZ-104 or AZ-140, • Experience supporting modern digital workspace technologies and secure access solutions, • Familiarity with AI-assisted operations, automation frameworks, or self-healing workflows, • Ownership mindset with a strong sense of accountability for end-to-end outcomes, • Strong analytical and problem-solving ability, • Ability to work across teams and communicate effectively with technical and business stakeholders, • Continuous learner who stays current on modern workspace, browser security, automation, and cloud technologies, • Collaborative team player who builds trust and contributes positively to team culture Click Apply now/contact Lianne to be considered for the Infrastructure & Enterprise Systems Engineer role

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Full Stack Engineer at Eloquent AI, you will lead the development of AI-powered full-stack applications while overseeing and mentoring other engineers. You’ll remain hands-on across the stack, but also take ownership of technical direction, code quality, and delivery standards. You’ll work closely with engineers, AI researchers, and product teams to ensure scalable, reliable systems that power real-time AI-driven workflows. This role requires strong engineering fundamentals, leadership capability, and the ability to operate effectively in a fast-paced, AI-first environment. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Oversee and review the work of other engineers, ensuring high-quality, production-ready code., • Provide technical guidance, architectural direction, and hands-on support where needed., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Establish engineering best practices across testing, deployment, and performance optimisation., • Continuously iterate and refine AI-driven products, balancing speed with robustness. Requirements: • 4+ years of hands-on experience building full-stack production applications., • Bachelors degree in Computer Science (Masters degree in Computer Science would be a big plus)., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Understanding of AI-powered applications (LLMs, chat interfaces, agentic workflows)., • Ability to work in a fast-paced, high-autonomy environment., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £110k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG Conquer AI is hiring a Contract AI Engineer We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering You’ll be a strong fit if you: Have built real AI systems beyond prototypes Can design and ship reliable backend services Understand retrieval, ranking, chunking, embeddings, and evaluation Have experience integrating LLMs into business workflows Can work with ambiguity and move quickly Are comfortable working with client-facing teams Can turn vague business problems into working technical solutions Care about practical delivery, not just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About Conquer AI Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations. Contract: Outside IR35 Location: UK-based preferred Working style: Hybrid / remote, with occasional client or team sessions Start: ASAP Engagement: Contract If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. The Role • Lead the engineering and productionisation of machine learning and generative AI solutions., • Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance., • Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services., • Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines., • Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management., • Provide hands on technical leadership, contributing to architecture decisions and best practice., • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background., • Proven ability to deploy, operate and maintain machine learning systems in production., • Hands on experience with cloud based data and ML platforms, particularly on Azure., • Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures., • Experience preparing data and pipelines for LLM based use cases and NLP workloads., • Strong Python skills, with experience building APIs or services, for example using FastAPI., • Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation., • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • Excellent work life balance and a supportive, collaborative culture., • The chance to shape ML engineering standards and capability from the ground up., • Strong potential for the role to become permanent, with future people leadership opportunities. How to Apply If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

🚀 Senior AI Delivery Lead | Associate Director | Security & Justice 📍 United Kingdom | Permanent | Leading Consultancy Are you an AI engineer who's tired of being the person who "advises" on AI — and actually wants to build it? We're hiring a Senior AI Delivery Lead at Associate Director level for a high-impact practice working across some of the UK's most complex public sector programmes. Think policing, defence, justice, and national security — environments where the bar for reliability, security, and responsible AI is about as high as it gets. This is a hands-on technical leadership role. You'll be architecting and shipping production-grade AI systems, not producing slide decks about them. ────────────────────────────── WHAT YOU'LL BE DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows, • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama), • Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability, • Making the call on when AI is the right answer — and when a simpler solution is better 📦 Delivery • Translating client requirements into technical roadmaps and shipping production-ready systems, • Moving AI from prototype to hardened, live service in high-security environments, • Proactively managing technical risk — security vulnerabilities, deployment bottlenecks, delivery timelines 👥 Leadership • Leading cross-functional teams of data scientists and engineers, • Communicating complex AI concepts to senior non-technical stakeholders, • Mentoring and upskilling engineers, building a culture of engineering excellence ────────────────────────────── WHAT WE'RE LOOKING FOR ────────────────────────────── ✅ Expert Python — plus hands-on experience with LangChain, LangGraph, PyTorch, TensorFlow or equivalent ✅ Deep knowledge of LLMs, RAG, prompt engineering, fine-tuning, vector databases, and generative architectures ✅ Production AI/ML delivery experience — real-world impact matters more than credentials ✅ Cloud-agnostic experience across AWS, Azure, and GCP ✅ Strong MLOps/LLMOps background — CI/CD for ML, governance, model monitoring ✅ Experience leading technical teams and managing senior stakeholder relationships ✅ Track record in a complex, regulated industry — healthcare, government, finance, defence, or similar No minimum education requirement. A PhD, strong industry experience, or impressive open source contributions all count equally. What matters is shipped, production-grade AI. Domain experience in Security & Justice is a bonus — not a prerequisite. A willingness to upskill in the sector is what counts. Security Clearance may be required. ────────────────────────────── WHY THIS ROLE? ────────────────────────────── 💡 Real ownership — architect and deliver, not just advise 🏛️ High-stakes, meaningful work — the kind where your systems actually matter 📈 Career trajectory — joining at a moment of significant AI scale-up 🤝 Senior exposure — direct engagement with client leadership from day one ────────────────────────────── Interested or know someone who might be? Drop me a message or apply directly — all conversations are confidential. #AIEngineering #GenerativeAI #LLM #MLOps #MachineLearning #TechJobs #UKTech #PublicSector #AIJobs #LangChain #RAG #HiringNow

Lead DevOps Engineer UK (Fully remote, occasional meetups) · £90,000–£95,000 + Private Healthcare Most DevOps roles are about keeping things running. This one isn't. We're looking for a Lead DevOps Engineer who wants to actually build something. In this role, you'll be player-coach for a global pharma software business that's reshaping how medicine gets made. You'll inherit two technical leads. They'll look to you for direction. You'll look to the Head of Cloud for strategy. The structure is flat. The work is not. We're talking health AI at scale. Real data pipelines. Real impact on drug development. Not another SaaS dashboard. You'll build our internal developer platform. Golden paths. Self-service. The kind of infrastructure that makes other engineers say "finally." The people you’ll work with already know to ring-fence 10% of your time for self-development. Certifications. Learning. Whatever keeps you sharp. The culture here treats you like an adult. Autonomy over bureaucracy. Outcomes over optics. Azure, Terraform, AKS, Kubernetes. Golang, Python, PowerShell, Bash. If those words feel like home, read on. AI and edge workloads are on the horizon. This team isnt standing still. UK fully remote. Occasional meetups. £80,000–£95,000 + Private Healthcare. If you're the kind of engineer who gets bored maintaining things, this is your invitation. If you read this far and you'd like your CV reviewed by a human, email mark@seekr.inc with "Shift Left, Right In" in the subject line. A couple of lines on why you think this might be a good fit — that's all.

Senior Software Engineer Tech Stack: C#, .NET, Microservices, Docker, Kubernetes, AWS/ Azure United Kingdom Full Remote: Perm Role Salary: £85,000 - £110,000 Harrington Starr has partnered with an innovative start up FinTech who specialise in providing market access and data from their ultra low-latency platform to financial service firms, leading exchanges and single dealers across digital assets, FIX and more. They are looking to hire a Senior C#, .NET Engineer with strong experience in start-up/ scale up firms, able to take ownership of developing new applications, adding features to existing systems and contributing to the growth and success of the companies core products. Key Requirements: • Extensive C#, .NET development experience (5+ years), • Strong experience developing highly scalable, low-latency applications, • Good hands on development experience with cloud based, microservice architecture (Docker, Kubernetes), • Extensive experience with TDD and Event Driven Development., • Independent self starter, confident with taking ownership of developing greenfield applications, • Strong collaborator and communicator, • 2:1 in BSc Computer Science or related Mathematics based degree Key Benefits: • Excellent base salary up to £110,000 based on experience, • Fully remote working model, • Involvement with a very exciting FinTech with huge plans for growth and opportunities to build greenfield applications and add features to their existing products, • Interaction with key internal stakeholders (C-Suite) If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to ollie.bluck@harringtonstarr.com.

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 (3+ 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

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Senior Software Engineer - Hybrid - Nottingham - C# .NET/Angular/Azure - £55,000 - £60,000 The Role An innovative, industry leader, based in Nottingham are looking for an experienced Senior Software Engineer to work on their entire product suite to help support their growth plans. You will be controlling the full SDLC, from conception to completion on greenfield projects, as well as maintaining and updating their existing solutions. As a Software Engineer here, you will have access to the latest tools and technologies to help shape the technical direction of the company. On top of the technical aspects of the role, you will be on a clear path to progress within the business, having a seat at the table when it comes to any important technical decisions. Supported by a talented Development team with 6 developers and other technical staff. Requirements Minimum 5 years of experience in commercial C# .NET Development JavaScript/TypeScript, HTML + CSS Angular Azure DevOps (CI/CD) Desirables C# .NET Core Azure Serverless experience (App Services, Functions, Storage, Service Bus, etc.) Agile/Scrum Experience Relevant University Degree (2:1 or above) The Company This company offer a range of software solutions to an ever evolving industry. They stay at the forefront of innovation to stay on top of this and continue to lead their sector. Their product has been successfully delivered across the globe and they're constantly expanding into different markets. Starting from humble beginnings as a family run business, founded over 20 years ago, they now have over 50 staff with exciting plans to expand. The tech team has been vital for this growth and will continue to be, so they heavily invest back into the Software Engineering team all whilst maintaining a strong, collaborative culture. The role offers a salary of £55,000 - £60,000 with a hybrid working policy (2 days a week in the office, 3 days WFH), 25 days holiday plus bank holidays, 6% company pension scheme, healthcare options, personal development time and individual progression plans plus much more. Apply Now If you're a talented Software Developer with a minimum of 5 years' experience looking to take the next step in your career, working on projects with a global reach, then this is the role for you! Senior Software Engineer - Hybrid - Nottingham - C# .NET/Angular/Azure - £55,000 - £60,000 Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. TPBN1_UKTJ

Exchange House Services Ltd - London is seeking a Data Engineer focused on creating and maintaining data solutions in Azure. Candidates should have over 5 years of experience in data engineering, with a degree in a relevant field. The successful candidate will manage data capture and build ETL pipel

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