Azure engineer jobs in United Kingdom - Page 8

numi is proud to have partnered with a multiple award-winning, high-growth fintech company. We have made multiple hires to this company, it is a place for top-tier engineers who are also excellent colleagues. As they continue to grow, they're looking for an exceptional IC (Individual Contributor) to solve some of their most complex problems. This is an opportunity to be a top technical voice, influence the system, and mentor a talented team. As a Principal Engineer, you will be a hands-on problem solver and a technical leader, influencing the team through expertise and example rather than line management. What You'll Do • Solve Complicated Problems: Tackle some of the most difficult challenges in fintech, such as increasing the reliability of core data and solving problems at scale., • Provide Technical Direction: Lead through influence by setting the technical direction and providing guidance on system and data architecture., • Mentor the Team: Support and mentor senior engineers, helping them weigh up approaches and accelerate their learning., • Lead by Example: Run training sessions and facilitate discussions to elevate the entire engineering team. Who We're Looking For You are a seasoned engineer with 10-15 years of experience, a track record of building maintainable, scalable services and systems, and an upward trajectory in your career. You are a fantastic IC who thrives on solving tough problems. • Significant experience with Python., • A background in a cloud-focused organization with exposure to AWS, GCP, or Azure., • A desire to work collaboratively in a team and an ability to communicate effectively with both technical and business stakeholders. Nice to Have: • Experience with Vue, Nuxt, React, or Next., • Experience or a strong interest in Fintech. Why You'll Love Working Here • Exceptional Impact: Be the biggest single influence on the system and technology direction., • Unrivaled Learning: Gain exposure to the finance industry while working on a modern tech stack., • Incredible Colleagues: Join a team of skilled engineers and excellent colleagues., • Real Ownership: Receive a meaningful equity stake and a competitive salary of £120k-£140k plus EMI options.

Opportunity & Requirement Summary 📛 Role | Python Software Engineer 🔵 Company | Growing SaaS Software Provider 📏 Size | 15–20 employees 📍 Location | London (Hybrid – 3 days per week in the office) 💰 Offer | £60,000 – £90,000 + share options + benefits Detailed Overview Kioni Talent is partnering with an innovative SaaS company that’s helping businesses streamline complex workflows through their intelligent software platform. They’re now looking for a Python Software Engineer to join their close-knit team and play a key role in building and scaling the backend that powers their core product. You’ll be joining a collaborative engineering team of experienced developers, product thinkers, and problem-solvers — all passionate about writing clean, scalable code and continuously improving their platform. ⭐ What You'll Do • Design, build, and maintain backend services using Python (Django/FastAPI), • Contribute to architecture and technical design discussions, • Write clean, maintainable, and well-tested code, • Work closely with Product and Frontend teams to deliver new features, • Help improve scalability, performance, and reliability as the platform grows 💥 Your Impact • Be a key contributor in a product-led SaaS company during a high-growth phase, • Influence technical direction and tooling choices, • Help shape best practices and contribute to a culture of engineering excellence, • Work on meaningful challenges that have a direct impact on customers 👩 💻 What You'll Need • Strong experience with Django or FastAPI, • Solid understanding of RESTful APIs and database design (SQL/PostgreSQL), • Experience with testing frameworks and version control (Git), • Familiarity with cloud environments (AWS/GCP/Azure), • A collaborative mindset and eagerness to work in a small, agile team If you’re excited by the idea of joining a small, talented team where your work has real impact, and you enjoy solving interesting technical problems in a modern SaaS environment. We’d love to hear from you. 📩 Apply now to learn more about the company and this opportunity! (Python Engineer, Python Developer, Backend Developer, Software Developer, Software Engineer, Django Developer, Django, FastAPI, Flask, AWS, SaaS, REST API, Cloud, CI/CD, Start-up, London, Hybrid)

Data Engineer | 6 Month Contract | Outside IR35 | London We’re looking for an experienced Data Engineer to join a leading technology-driven business on an initial 6 month contract. This is a hands-on, onsite position where you’ll be responsible for designing, building, and maintaining scalable data models, pipelines, and cloud infrastructure that power business-critical insights. Location: London (on-site) Contract: 6 Months (very likely extension) Rate: £450-550 p/day Start date: ASAP Required Skills: • Strong expertise with MSSQL Server and OLAP/Tabular models (SSAS Tabular, Azure Analysis Services, or Power BI Semantic Models)., • Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs)., • Proven experience building ETL/ELT pipelines using tools such as SSIS, dbt, or Airflow., • Solid understanding of database administration, tuning, and performance optimisation across MSSQL and PostgreSQL. Key Responsibilities: • Design and maintain data models that meet business requirements, ensuring scalability, consistency, and accuracy., • Build and manage ETL/ELT pipelines to integrate data from S3 and various sources into the analytical layer., • Administer and optimise MSSQL Server and PostgreSQL databases for performance and reliability., • Collaborate with internal teams to improve data availability, reliability, and performance across systems., • Design and maintain secure, scalable AWS cloud infrastructure supporting analytical workloads., • Create and maintain dimensional and semantic data models for Power BI and Excel integration., • Evaluate new data modelling tools and techniques to continuously improve efficiency and scalability. If you're interested, apply now for immediate consideration.

Role: Senior Backend Engineer (Product) Location: Hybrid - London Compensation: Up to £130,000 + equity We’re supporting a next-generation AI company developing a groundbreaking platform that automatically creates and scales immersive 3D environments. The team is bringing world-class technology from research to reality — turning complex creative workflows into seamless, intelligent systems. As a Senior Backend Engineer, you’ll own the architecture behind this core product. You’ll design APIs that power creative tooling, orchestrate large-scale compute workloads, and shape the technical foundations of a platform redefining what’s possible in 3D content creation. What you’ll do • Build and scale backend services and APIs for web and desktop applications., • Design and implement distributed systems for async processing, ML workflows, and asset pipelines., • Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience., • Drive observability, performance tuning, and deployment automation across the stack., • Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have • 5+ years of experience developing production-grade backend systems and APIs., • Strong skills in Python (FastAPI or similar) and modern cloud infrastructure., • Deep understanding of system design, scalability, and reliability., • A product-oriented mindset — you design with end users and UX impact in mind., • Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves • Experience with cloud-native infrastructure (AWS, GCP, or Azure)., • Familiarity with auth, billing, or subscription systems., • Background in 3D graphics, creative tooling, or ML pipelines., • Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This is a rare opportunity to join an early-stage team backed by leading deep-tech investors, building the foundation of a platform that fuses AI, creativity, and large-scale 3D generation. If you love architecting systems that empower creators and push technology forward, we’d love to hear from you.

Contract Principal Consultant Engineer (Cloud & Engineering) Hybrid (3 days onsite per week, West London) Rate: £575 to £625 per day (Outside IR35) Contract Length: 3 months with option to extend • Are you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ?, • Do you thrive at the intersection of technical strategy, architectural design, and customer success? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation. Following continued growth, they’re expanding their senior technical leadership team to shape and deliver large-scale customer engagements. As a Solution Architect / Principal Consultant, you will: • Define end-to-end technical architectures that solve complex business challenges., • Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction., • Lead multi-disciplinary teams through architecture, design, and implementation, ensuring scalability, security, and performance., • Influence technology decisions across modern programming, infrastructure, and automation ecosystems., • Act as a trusted advisor: translating business objectives into technical solutions that deliver measurable impact. This is a strategic, customer-facing role requiring both depth of technical expertise and strong commercial awareness. You will have the autonomy to shape engagements, set standards, and influence the direction of both client and internal engineering teams. Technical Profile • 7+ years’ experience in software engineering or cloud architecture, with recent focus on solution design and delivery leadership., • Deep experience with AWS, GCP, or Azure, including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible)., • Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale., • Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript., • Solid understanding of CI/CD, DevOps automation, and secure cloud operations., • Strong communication and stakeholder management skills — able to influence at both technical and executive levels. Please apply now for immediate consideration to the role.

We’re looking for an experienced Azure GenAI Engineer to build and scale intelligent, agent-based applications in a cutting-edge cloud environment. You’ll work hands-on with Azure’s AI stack, modern frameworks, and production-ready pipelines to deliver real business impact. Key Skills (Must-Have): • Agent-based GenAI app development using Python, • Prompt engineering and FastAPI, • AI/ML model development, • RAG (Retrieval-Augmented Generation) with Vector Databases, • Strong understanding of Azure Cloud Services, Azure AI Search, and ADI (text, table & image processing), • Proficiency with LangGraph and LangChain frameworksNice to Have:, • Experience with SQL Server, Docker, CI/CD pipelines, SonarQube, PyTest, • Monitoring and optimisation of production AI apps

Job Title: Systems Engineer Our client, an innovative leader in broadcast engineering, is seeking a Systems Engineer for a pivotal role that combines deep technical expertise with forward-thinking design. You will be responsible for designing, building, and maintaining the complex, mission-critical infrastructure that powers their global transmission systems, ensuring the highest standards of broadcast excellence. This is a key position where you will guarantee seamless content delivery for a prestigious client base by ensuring the high availability, scalability, and robust security of all systems. What's In It For You? • Lead Critical Projects: You will take the lead on technical systems projects from concept through to deployment, working with cutting-edge broadcast technology and ensuring projects are delivered on schedule and within budget., • Drive Technical Innovation: This role offers the chance to design, develop, and implement complex, high-availability distributed systems, giving you a platform to solve advanced challenges and shape the infrastructure of a growing company., • High-Impact Environment: As a key member of a start-up, you will have the opportunity to mentor and collaborate with technology teams, directly influencing the engineering culture and resolving high-level technical issues in a dynamic environment. Responsibilities: • Take full ownership of the core infrastructure, administering and maintaining primarily Linux-based environments through configuration, deployment, upgrades, and patching., • Drive the end-to-end delivery of technical projects, from initial design and development through to implementation and documentation, ensuring seamless broadcast transmission., • Act as the technical authority for system performance, proactively monitoring, tuning, and troubleshooting complex hardware and software issues to ensure optimal uptime and data integrity., • Collaborate effectively across the business, working with engineers, managers, and vendors to resolve issues and provide expert input for technical briefings and project planning. Skills/Must have: • Deep, hands-on expertise across various Linux distributions (such as Rocky, Debian, or Ubuntu)., • A proven track record in designing, building, and operating complex, high-availability distributed systems., • Strong experience with modern infrastructure tooling, including monitoring/logging (e.g., Grafana, ELK), cloud platforms (AWS, GCP, Azure), and automation (e.g., Ansible, Puppet)., • Solid knowledge of core networking technologies, including the TCP/IP stack, switching, routing, and multicast., • Demonstrable experience in system hardening, security best practices, and performance tuning., • Exceptional problem-solving abilities and clear communication skills, with a focus on detail and the ability to perform under pressure. Salary : Up to £80,000 Per Annum

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry. The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines. If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you. What we can offer YOU Why would you enjoy working with us? • Forward-thinking AI-driven team revolutionizing the sports betting industry., • Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions., • Competitive benefits, including flexible working options and tangible career growth opportunities., • Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure., • Collaborate with a world-class group of professionals innovating at the intersection of data and AI., • Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events., • A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Purpose of the Role To help ensure Quantum’s cloud infrastructure and corporate IT systems are secure, scalable, and resilient. This role combines deep technical ownership of Microsoft Azure and related platforms with responsibility for maintaining a strong internal IT and security foundation. We are looking for a hands-on Cloud Engineer who can manage infrastructure, automation, and compliance while keeping Quantum’s systems reliable, efficient, and well-documented in a fast-moving fintech environment. Key Responsibilities Cloud Infrastructure & Platform Engineering · Design, build, and operate Azure environments including Container Apps, Kubernetes, Postgres, Redis, Event Hubs, Kafka, Storage, and Vercel, ensuring high performance, security, and cost efficiency. · Define and maintain governance planning and access control, including granular permission structures, RBAC, and least-privilege configurations across all resources. · Build and manage infrastructure using Terraform and Azure CLI, enabling consistency, traceability, and automated change control. · Implement strong observability and compliance frameworks (metrics, logging, tracing, and audits) to guarantee visibility, reliability, and adherence to high-regulation standards. · Support and automate development, staging/UAT, and production environments with robust deployment pipelines, rollback strategies, and smoke testing. · Collaborate with development, data, and product teams to automate workflows, deployments, and testing, ensuring consistency and scalability across environments. · Establish and maintain disaster recovery (DR) and business continuity strategies with automated validation and detailed recovery documentation. · Maintain clear, well-structured documentation for architectures, deployments, and operational procedures, fostering transparency and long-term maintainability. Security & Risk Management · Implement and maintain cybersecurity controls, including MFA, conditional access, endpoint protection, encryption, and vulnerability remediation. · Oversee secure authentication workflows and alignment with compliance frameworks across cloud and internal systems. · Lead incident response and post-incident reviews to strengthen operational resilience. · Conduct periodic security and compliance audits, ensuring continuous adherence to internal standards and external requirements. · Promote a proactive culture of security awareness, accountability, and documentation throughout the organisation. Corporate IT & Internal Systems · Manage corporate systems and licences (Microsoft 365, Entra ID, VPNs, DevOps, Revolut access). · Oversee Entra ID management, including group policies, access reviews, and conditional access rules for both cloud and internal environments. · Manage endpoint configuration and compliance using Microsoft Intune, Apple MDM, and Windows Autopilot, ensuring devices are encrypted, patched, and policy-compliant. · Handle onboarding/offboarding, laptop setup, and permissions management through secure, automated workflows. · Maintain comprehensive documentation and inventories of IT assets, configurations, and access permissions. · Support secure remote and hybrid work environments through Azure Virtual Desktop (AVD) and Cloud PCs. · Continuously improve IT processes through scripting, automation, and integration with other systems and tools.

Senior Platform Engineer (Network & Security) Central London, Hybrid (2-3 days) | £70,000-£80,000 + excellent benefits About the company We’re proud to be partnering with a leading international bank, renowned for its commitment to digital transformation, sustainability, and innovation. With operations spanning multiple continents, they’re investing heavily in modernising their technology landscape; driving automation, cloud adoption, and agile delivery across the organisation. This is a fantastic opportunity to join the heart of this transformation, helping to build secure, scalable platforms that power global banking operations. About the role As the Senior Platform Engineer, you’ll take ownership of network infrastructure design, automation, and security and work with both internal teams and third party partners to drive enterprise-level transformations. You’ll work across cloud and on-prem environments, utilising a range of cloud, network, and security technologies, developing Infrastructure as Code (IaC), and embedding security controls to deliver seamless, secure platform connectivity. About you An experienced Network & Security Engineer with at least 5+ years of relevant experience in designing, implementing, and securing enterprise-grade network platforms. You’ll bring strong technical knowledge across the following areas: • Threat prevention: anti-malware, content filtering, and advanced threat protection (Palo Alto, Check Point, Cisco), • Cloud network security: particularly within Microsoft Azure, • Perimeter security: firewalls, intrusion detection and prevention (IDS/IPS), • Web Application Firewalls (WAF): SaaS, on-prem, or Azure-based deployments, • Secure connectivity: SSL VPNs, remote access, and segmentation best practices, • Modern network security architectures: Secure Access Service Edge (SASE) and zero-trust principles, • Communication: internal & external partner/vendor collaboration This is an excellent opportunity to play a key role within a talented platform team for a global financial institution. If you meet the requirements and are interested in learning more, please apply for a quick chat! Please note, visa sponsorship is not available for this position and the above requirements are essential. Applications will be unsuccessful if they don’t meet these, or aren’t within commuting distance of central London. I’d love to speak with everyone, but due to the high volume of applications we’re receiving, I can’t guarantee everyone a response.

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers to move fast without breaking things. If you want to operate at the intersection of machine learning and production systems engineering, this role is for you. What You Will Do • Build and maintain CI/CD pipelines for model training, evaluation, and deployment across research, staging, and production environments., • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases., • Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving., • Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health., • Manage infrastructure as code (Terraform, or similar) for compute resources, ensuring efficient scaling across training and inference workloads., • Collaborate with research and engineering teams to establish system SLOs/SLAs aligned with business objectives., • Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge., • Ensure compliance, governance of all ML processes and workflows. What We Look For • Experience building and operating ML infrastructure, ideally in production environments serving real users., • Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows., • Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems., • Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure)., • Experience with relational databases and data processing and query engines (Spark, Trino, or similar)., • Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent)., • Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints., • A mindset that balances reliability with velocity: you care about reliability and reproducibility, but you also enable teams to ship fast. Nice to Have • Experience delivering API services (FastAPI, SpringBoot or similar)., • Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us • You'll be part of a small, high-output team where intensity and focus are the norm., • You'll own the infrastructure that enables research to reach customers reliably and at scale., • You'll solve hard problems at the edge of ML systems: multi-modal models, on-device deployment, real-time inference, and retail-scale operations., • You'll work alongside people who care deeply, move quickly, and hold a high bar for excellence.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

About the Role We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem. This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact. You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking. What You’ll Do • Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience., • Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases., • Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications., • Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration., • Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools., • Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You • Deep expertise in Python, machine learning, and data science., • Experience building, deploying, and scaling AI models in Azure and/or AWS environments., • Skilled in using LangChain, LangGraph, vector databases, and prompt engineering., • Understanding of LLM optimisation, including context extension and RAG-based frameworks., • Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams., • A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: • Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field., • Experience with Azure Foundry, AWS SageMaker, or other model-serving tools., • Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role • Play a central role in defining and executing an organisation-wide AI roadmap., • Work directly with senior leadership on strategy and implementation., • Shape the next generation of intelligent, data-driven products., • Hybrid working environment with flexibility for deep technical focus and collaboration., • Competitive compensation and the opportunity to build at scale in a high-growth environment. If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

Trade Desktop Support Engineer (Windows Trayport Joule) London onsite to £80k Do you have experience of supporting energy market traders on the Trayport Joule trading screen? You could be progressing your career on the Asset Management side of a global Japanese bank as they expand this product offering within the UK. As a Trade Desktop Support Engineer you will join a small team responsible for building, maintain and administering the desktop IT infrastructure, ensuring it is resilient, secure, reliable and efficient. You'll troubleshoot and resolve operational issues, introduce automation wherever possible and manage the delivery of IT projects. Location / WFH: You'll be based in impressive London based offices, onsite Monday to Friday 0800-1730. About you: • You have experience in a similar environment, supporting users on the Trayport Joule Trading Screen product, • You have PowerShell scripting skills for automation and Excel coding skills, • You're comfortable in an AWS and Azure cloud based environment (no on-prem), • You have strong troubleshooting skills, • You are collaborative and pragmatic with excellent communication and stakeholder management skills, • You're a technologist, likely to have your own home set up, read / write blogs, attend conferences What's in it for you: As a Trade Desktop Support Engineer you will earn a competitive package including: • Salary to £80k + bonus (c20%), • Pension, • Career advancement Apply now to find out more about this Trade Desktop Support Engineer (Windows Trayport Joule) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

💻 AI Software engineer (.NET/TypeScript) - REMOTE £70k + Equity - Dev Tools 💻 We’re building something new. It’s funded and moving fast, we're making complex data ecosystems radically transparent using AI, and we need someone who can help us build the thing. We’ve got live products, VC backing, and a small team that ships daily. If you like autonomy, ownership, and figuring things out as you go, you’ll probably enjoy it here. The role is full-stack, but if you lean backend, that’s fine too. You’ll be working across .NET 8+, Next.js, TypeScript, and a bunch of Azure-native services. It’s all serverless and event-driven, and we’re integrating AI wherever it makes sense. You’ll be building APIs, shaping front-end experiences, and contributing to architecture decisions. You’ll also be expected to think critically about how and when to use AI—not just prompt your way through problems. We don’t do long planning cycles or endless meetings. We care about momentum, not perfection. You’ll have freedom to experiment, make decisions, and ship fast. If something breaks, we fix it. If something works, we build on it. There’s no bureaucracy, just a bias toward delivery and a culture of curiosity. You should have at least a few years of experience building real things. You should be comfortable with serverless or containerised environments, and ideally you’ve worked with Azure before. You should be okay with ambiguity, and you should enjoy collaborating with people who care about what they’re building. We’re remote-first, but it helps if you’re in or near the UK or Portugal so time zones don’t get weird. We’re not looking for rockstars or ninjas or whatever. Just someone who’s good at what they do, communicates clearly, and wants to be part of something early. If you’re pragmatic, creative, and not afraid to fail fast, you’ll fit right in. We also like people who aren’t camera-shy—demoing features and sharing progress is part of the rhythm here. If this sounds like something you’d want to be part of Reach out Asap to avoid disappointment Venchr is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

🚀 Remote Senior Data Engineer - Contract Opportunity Role & Logistics • Role: Senior Data Engineer (Databricks Focus), • Company: Global Technology Platform, • Location: UK Remote, • Contract Duration: 6 Months (multi-year scope), • Status: Outside IR35, • Rate: Competitive Day Rate The Project We are seeking a highly experienced Senior Data Engineer to lead the hands-on delivery of core data infrastructure for a critical, 6-month project. You will play a key role in designing and implementing scalable data solutions at the center of our technology platform. Key Responsibilities & Deliverables • Design, architect, and implement robust, end-to-end data pipelines (batch and streaming)., • Drive the adoption of modern data engineering practices within the project scope., • Act as a senior technical leader, providing guidance, mentorship, and code reviews to the engineering team., • Ensure rigorous engineering discipline, including CI/CD, testing, and monitoring standards are implemented and maintained., • Own data workflows from ingestion through transformation, quality assurance, modeling, and delivery to downstream systems. Essential Technical Requirements • 5+ years proven experience in a Data Engineering role, building production-ready pipelines., • Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable)., • Expert proficiency in Python and SQL development., • Experience using Databricks., • Experience with cloud-based data platforms (Azure, AWS, or GCP)., • Prior experience in a senior contributor capacity, providing technical direction and oversight., • Experience with data modeling, data lakes/warehouses, and performance tuning is highly desirable. How to Apply Interviews are starting immediately. Please apply here.

About Motilent At Motilent, we’re changing the way we see the gut. Our mission is to transform how digestive diseases are understood, measured, and treated - tackling some of the world’s most significant and complex health challenges. We’re a profitable, growing medtech company based in London, developing world-leading technology used by hospitals and life science organisations across the globe. As demand for our products and research collaborations continues to grow, we’re expanding our engineering team to support the next phase of our journey. Working at Motilent means joining a team at the intersection of clinical science, medical imaging, and advanced technology. You’ll collaborate with researchers, clinicians, and engineers to solve complex, interdisciplinary problems - building systems and tools that push the boundaries of what’s possible in medical imaging and analysis. We’re looking for engineers who want to do more than build software - those who want ownership, growth, and the chance to be part of a team that’s genuinely changing the way we see the gut. Role Overview As a Senior Platform and Services Software Engineer (title negotiable), you’ll play a key role in designing, building, and maintaining the platform and services that power Motilent’s medical imaging analysis and visualisation platform. You’ll work across microservices, event-driven services, and data pipelines, helping to define scalable, reliable solutions that meet the technical and regulatory demands of our medical products. This role is ideal for engineers who enjoy solving complex problems, collaborating across disciplines, and contributing to mission-critical software used in clinical and research environments. This role reports directly to the Technical Product Lead. Salary: £50,000 – £80,000 per annum, depending on experience and scope of responsibilities. Key Responsibilities • Design, implement, and maintain the platform and services supporting Motilent’s imaging analysis and visualisation platform., • Define and implement automated testing and verification processes for the platform and its services., • Contribute to the definition and evolution of Motilent’s platform architecture., • Design, implement, and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines., • Work in accordance with Motilent’s Quality Management System (QMS) to support the release of regulatory-cleared medical devices., • Participate actively in software design discussions and architecture decisions., • Collaborate closely with cross-functional teams including frontend, QA, and product leads to deliver reliable and maintainable systems. Required Skills • Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related technical discipline, and 5+ years of experience as a software engineer within a commercial environment., • Proficiency in at least one modern object-oriented programming language (preferably Java) and willingness to learn new technologies., • Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP)., • Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes)., • Experience with non-SQL databases (e.g. DynamoDB, MongoDB)., • Strong understanding of RESTful APIs and service integration patterns., • Familiarity with OAuth 2.0 and OpenID Connect (OIDC)., • Understanding of Agile software development, CI/CD pipelines, and version control systems (Git)., • Knowledge of unit testing, software verification, and design patterns. Nice to Have • Advanced proficiency in Java and Gradle., • Experience developing microservices using Spring Boot within containerised deployments (Docker/Kubernetes)., • Proven experience designing and scaling event-driven and distributed architectures in production environments., • Proven experience deploying and managing production infrastructure using IaC, • Deep understanding of AWS services, infrastructure automation, and cloud security best practices., • Background in medical imaging, life sciences, or other regulated software environments (e.g. ISO 13485, IEC 62304)., • Familiarity with DevOps pipelines, observability, and automated deployment at scale., • Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions., • Knowledge of DICOM / DICOMWeb standards or healthcare data integration workflows. Our Tech Stack • Java and Spring Boot, • AWS, • DynamoDB, • Docker, • ...and more Ways of Working • Operate within Motilent’s QMS, maintaining traceability and documentation as required by regulated software standards., • Collaborate closely with engineers, solution architects, and product teams to ensure alignment between development, quality, and regulatory goals., • Based remotely within the UK, with occasional travel to Motilent’s central London office for collaboration, onboarding, or training., • Maintain accurate and current records of training, skills, and experience in line with QMS requirements. Benefits & Employment Details • 25 days of annual leave + public holidays, • Health Insurance Scheme, • Options Scheme, • Pension Scheme, • Full-time, Permanent, • Laptop and hardware provided, • Hybrid work arrangement: Our office is located in Aldgate East (London, UK), but we provide the option for flexible remote work from home, • UK-based applicants only: This opportunity is open to individuals with pre-existing, unrestricted rights to work full-time in the UK. We are not able to offer visa sponsorship. Recruitment process • Click Apply on LinkedIn and upload your CV., • Technical assessment - engineering challenge, up to 4 hours (async)., • Technical interview - 60–90 minutes with our CTO and Solutions Architect., • Follow-up interview - 30-60 minutes with our Technical Product Lead., • Background checks and references., • Offer.

Sonata Software Overview In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation™ playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space. Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms. Position: CS Azure Infrastructure Engineer Location: UK Work Mode: Hybrid Experience: 10 - 15 years UK citizens Role Overview We are seeking a skilled and experienced Engineer with expertise in Azure Stack HCI, Windows Server, Hyper-V, and VMWare. The successful candidate needs to have several years of experience with Hyper-Converged Infrastructure, Virtualization, Storage and Networking. Role type: Engineer to advise on architecture, consulting, and support to help customers drive solutions and resolutions Qualifications Technical experience with hybrid infrastructures, architecture designs and Cloud Adoption – Well Architected Framework. 8+ years’ experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting. Understanding of Microsoft’s Modern IT Architecture and Strategy. Proven track record in successfully planning, deploying, operating, and optimizing on-premises, Private and Public cloud environments. Windows and Azure certifications - Advanced Microsoft certifications are preferred. Characteristics of importance include but are not limited to customer service, problem solving, communication skills, and the ability to read/interpret the needs/wants of customer executives and leaders. Required Skill Set: • Windows Server Platforms / Virtualization, • Customer Engineer Technical skills:, • Broad knowledge of on-premises Microsoft products with deep understanding of the following:, • Azure Stack HCI/Local Software, • Defined Networking Deployments and Configuration, • Network ATC Storage Spaces, • Direct Deployments and Configuration Storage, • Provisioning Azure ARC for Servers, • Azure Virtual Desktop, • Virtual Machines, • Azure Update Manager, • Azure Monitor Windows Server (Windows Server 2012 R2-2025 = advanced level), • Virtualization (Azure Stack HCI/Local, Hyper-V, VMware), • System Center Virtual Machine Manager, • Azure Migrate Azure Backup and Site Recovery Backup and migration tools (SCDPM, Veeam, Commvault, Carbonite, …), • General Azure IaaS platform (networking, storage, etc.) Why join Sonata Software? At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world’s toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent / Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI consultancy, supporting clients across data, AI, and cloud to build scalable, modern platforms while developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: • Establish and lead the Snowflake Centre of Excellence., • Develop Snowflake IP, including best practices, accelerators, frameworks, and reference architectures., • Provide technical assurance and leadership across delivery projects., • Support pre-sales activities, thought leadership, and client advisory., • Explore Snowflake’s app development and integrations to power new business offerings., • Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: • Extensive hands-on experience designing and delivering Snowflake solutions, including Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex., • Track record of training and upskilling colleagues or clients in Snowflake., • Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer)., • Experience optimising Snowflake performance and cost., • Solid understanding of software engineering lifecycles and modern development practices (Python or similar)., • Experience leading multidisciplinary data teams in consulting or enterprise environments., • Excellent communication skills with technical and non-technical stakeholders. Desirable: • Experience with other modern data platforms (Databricks, Azure, AWS, GCP)., • Experience with platform observability and CI/CD for data platforms., • Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow., • Experience supporting pre-sales activities in a consultancy or product business. Why Join? • Work with cutting-edge data and AI technology., • Collaborate with passionate, high-performing teams., • Shape the future of Snowflake delivery at a market-leading consultancy., • Hybrid working with flexible arrangements and equity options.

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global network of life-saving technology companies, united by a mission to create a safer, cleaner, and healthier future. Their portfolio of over 40 businesses delivers innovative solutions addressing critical challenges in health, safety, and the environment. They are undertaking an ambitious digital transformation, investing in smart, connected, and data-driven technologies to modernise operations and accelerate innovation. With a presence across Europe, the US, and Asia Pacific, this is an opportunity to join a forward-thinking organisation recognised as one of the UK’s most admired companies. The Role We are seeking a Solutions Engineer to join the Digital Solutions team, working alongside the Senior Solutions Architect. This role blends hands-on software development with strategic advisory, supporting group-wide technology initiatives while helping individual businesses adopt best practices. You’ll design and prototype solutions across cloud, AI, VR/AR, Edge AI, and emerging technologies. Your work will span both operational and customer-facing projects, giving you the chance to apply cutting-edge technology to real-world challenges and make a measurable impact. Key Responsibilities • Collaborate with the Senior Solutions Architect to design scalable, secure, and high-value technical solutions., • Lead and contribute to group-wide initiatives, including the rollout of in-house Generative AI solutions., • Design and build blueprints, proof-of-concepts, and prototypes using cloud services, AI, VR/AR, and Edge AI., • Provide hands-on guidance to operating companies on software development best practices, technology stack selection, DevOps, and CI/CD implementation., • Develop reusable assets such as reference architectures, templates, and playbooks to accelerate adoption and delivery., • Translate business requirements into technical solutions and deliver within agile environments., • Explore emerging technologies, providing demonstrations and guidance to support adoption across the group. Required Experience & Skills • 5+ years of cloud-native development experience, preferably Azure (AWS a plus)., • 5+ years of software engineering experience, mainly in C# and/or Python., • Strong knowledge of cloud services (Azure App Services, Functions, AI Services)., • Proficiency in REST APIs, microservices, and event-driven architectures., • Experience with Git-based version control (GitHub/Azure DevOps) and CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)., • Solid understanding of solution architecture principles and software testing practices., • Experience delivering customer-facing products and supporting the full development lifecycle., • Excellent communication, stakeholder engagement, and advisory skills. Desirable • Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel., • Familiarity with Microsoft Power Platform., • Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps., • Exposure to edge computing, VR/AR, or robotics. What You’ll Bring • Curiosity and passion for emerging technology., • Strong coding and problem-solving skills combined with a strategic, advisory mindset., • Confidence navigating complex organisations and driving adoption of best practices., • Pragmatic, entrepreneurial approach with a future-focused mindset. Location & Working Pattern This is a full-time, permanent role based in London, with three days per week in the office and occasional travel to other UK sites. Hybrid working arrangements balance collaboration, travel, and home-based work.

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Job Title: Full Stack Software Engineer Location: London (Hybrid / Flexible) Type: Permanent or Contract Clearance: Active Enhanced DV or DV clearance preferred | SC clearance considered Salary: Competitive (based on experience & clearance level) We’re working with a specialist digital consultancy delivering secure, user-centred solutions across government and national security sectors. They’re looking for talented Full Stack Developers who can contribute to mission-critical systems - blending strong back-end development in Go with solid Front-End (FE) knowledge, particularly in React. This is an opportunity to work in highly secure environments on meaningful projects that directly impact national capabilities. You’ll collaborate within agile, multi-disciplinary teams that value innovation, technical excellence, and continuous improvement. Key Responsibilities • Design, develop, and maintain full-stack applications using Go (Golang) and React, • Collaborate with designers, DevOps engineers, and product teams to build scalable, user-focused services, • Ensure high standards of software quality through code reviews, automated testing, and CI/CD practices, • Participate in architecture discussions and technical design sessions, • Integrate APIs and backend systems into modern, accessible front-end interfaces, • Contribute to continuous delivery pipelines and infrastructure-as-code practices, • Maintain awareness of security and performance in all aspects of delivery Key Requirements • Active Enhanced DV clearance (preferred) – essential for access to secure projects (Can be regular DV or SC), • Proven experience as a Full Stack Software Engineer, • Strong knowledge of Go (Golang) for backend development, • Solid Front-End experience – ideally with React, TypeScript, and modern UI patterns, • Experience working within Agile / DevOps delivery environments, • Understanding of secure coding practices and working within classified or government settings, • Excellent problem-solving skills and a proactive approach to technical challenges, • Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: • Exposure to cloud platforms (AWS, Azure, or GCP), • Experience with containerisation (Docker, Kubernetes), • Familiarity with CI/CD tools and automation pipelines, • Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space and software development expertise, then please apply now!

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference., • Work closely with clients to understand data and model architecture requirements for their business needs., • Be given a high degree of autonomy and ownership over your work., • Co-hire your future colleagues., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: • Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: • Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV), • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Research Engineer” - make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Senior SDET – Test Automation A leading technology-driven organization is seeking a highly skilled Senior Software Development Engineer in Test (SDET) to drive automation excellence across embedded and connected device platforms. This role is ideal for a hands-on engineer passionate about building scalable test frameworks and elevating product quality through code. 🔧 Key Responsibilities • Develop and maintain automation frameworks for device software (Android, Linux, IoT), • Collaborate with engineering teams to define testable architectures and embed quality in development, • Design and execute test strategies for APIs (REST, IPC), WebUI, and OTA updates, • Integrate automated tests into CI/CD pipelines with quality gates, • Document standards and best practices for automation and quality engineering, • Support manual testing efforts and mentor peers in automation techniques 🧠 Technical Skills • Proficient in Python, Java, or similar for test automation, • Experienced with tools like Selenium, Appium, Espresso, • Familiar with CI/CD platforms such as Jenkins, GitHub Actions, Azure DevOps, • Strong testing background in device OS, APIs, web interfaces, and connected systems, • Bonus: Exposure to medical device software, video protocols, performance testing, and IEC 62304 standards 👤 Candidate Profile • Software engineering background with a focus on automation, • Self-driven and technically adept with a passion for product quality, • Proven ability to lead initiatives and build robust automated solutions, • Minimum 3 years’ experience in SDET, automation, or software development roles 🎓 Qualifications • Bachelor’s degree in Computer Science, Engineering, or equivalent, • 3+ years of relevant experience (or 2+ years with advanced degree), • Strong foundation in automation testing and technical leadership About Planet Pharma: Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering. Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Data Engineer | Social Impact Tech | Hybrid (London) | £60k Want to use your data skills for real social impact? 🌍 Join a purpose-driven tech company helping frontline workers prevent issues like homelessness and child neglect — where your work genuinely changes lives. You’ll help build and scale secure, high-performance data pipelines (Azure Data Factory, SQL, Python) that power products used across the public sector. Expect plenty of ownership, collaboration, and the chance to shape engineering practices in a growing team. What you’ll bring: • 3+ years’ experience in data/platform engineering, • Strong SQL + Python skills, • Hands-on with Azure Data Factory (or similar ETL tools), • A proactive, collaborative mindset Nice to have: CI/CD, Power BI, Azure DevOps, or public sector data experience. Why join: ✨ Work on tech that makes a real difference 💻 Hybrid setup (1–2 days/week in London) 💰 Competitive pay, private healthcare, 25 days’ holiday, enhanced parental leave + training budget If you want your code to do good as well as look good, hit apply or drop me a message for a quick chat.

A data-driven insurance technology company are seeking a DevOps Engineer to join their team on a full-time basis. Their modern platform connects insurers, partners and customers through extremely intelligent automation and clean APIs. You would be joining an incredibly talented, high-performant team, and get to work on an entirely greenfield project taking their product offering from zero to one. Skills Required: ✅Fluency in Terraform ✅2-5 years hands-on experience with Azure cloud services ✅Experience deploying Python applications and React frontends in production ✅Proven track record managing multi-environment deployments with proper isolation ✅Able to confidently navigate complex problems and work in a fast-paced environment Nice to have: ⭐Azure certifications (AZ-104, AZ-400, or AZ-305) ⭐Knowledge of PostgreSQL and big data systems ⭐Experience in FinTech/InsurTech or regulated industries If you are a skilled DevOps Engineer looking to join a company on an incredible trajectory, hit apply now. Hybrid (2 days on-site per week), Central London. Visa sponsorship not available.

Senior Data Engineer London (Hybrid) Up to £80k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking to hire a very talented Senior Data Engineer to take a leading role in building and scaling the data foundations of the platform. You’ll combine strong SQL and Python skills with a DevOps mindset, architecting pipelines, automating workflows, and ensuring AI outputs are production-ready. Requirements • 3+ years’ experience in Data Engineering or Data Platform development, • Experience working with First-Party Data, • Strong SQL and Python fluency (data transformations, orchestration, automation), • Expertise in data modelling (dimensional, event-based, ML-aligned), • Experience with helping to build ML models and orchestrating into production, • Familiarity with cloud ecosystems - Azure, AWS, or GCP, • Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar), • Excellent communication skills and a structured, detail-oriented approach, • BSc in a related STEM degree from a top university ** Please note that visa sponsorship is not available

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: • Developing and maintaining large-scale data pipelines and backend systems in Python., • Working with AI/ML datasets to help train and deploy new detection models., • Building and improving integrations, and working on greenfield product developments., • Collaborating with data science and applications teams to deliver features at scale., • Working with real production data (billions of data points) in a fast-paced, high-impact environment., • Deploying code to production with flexibility to shape and improve existing processes. SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: • Strong Python (python frameworks), backend development experience (3+ years), • Experience working with AI/ML or big data systems., • Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome)., • Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus., • Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits: • Salary: £65,000 – £85,000, depending on experience, • Hybrid working with 2 days in the London office, • Opportunity to work with cutting-edge ML and large-scale data systems, • Career growth in a rapidly scaling Series A company, • Collaborative, innovative engineering culture with high ownership, • Great work-life balance HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

A growing global macro hedge fund is seeking a Technology Associate / Data Engineer to join its lean, high-impact technology team in London. The firm combines an entrepreneurial culture with institutional backing and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations. You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. The successful candidate will be someone who combines strong technical skills with curiosity, pragmatism, and drive — someone who takes pride in engineering fundamentals, thrives in a small team, and wants to see the commercial impact of their work. Key Responsibilities • Develop, maintain, and enhance data pipelines and ETL processes using Python and SQL., • Manage and integrate API connections and FTP data feeds into internal systems., • Build and support dashboards and reports to provide visibility across trading and operations., • Support and optimise the firm’s cloud infrastructure (Microsoft Azure) including VMs, data storage, and permissions., • Use Excel/VBA for automation and ad-hoc data analysis., • Implement Git-based version control and code management best practices., • Partner closely with business users to translate requirements into technical solutions., • Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain • Autonomy and ownership from day one — your work will have immediate visibility., • Exposure to all parts of the business, from trading to operations., • The opportunity to shape the firm’s technology stack as it scales., • A flat, collaborative structure with direct access to senior stakeholders., • Competitive compensation and rapid career progression in a high-performing environment. Required Skills & Experience • Bachelor’s degree in a STEM field (Computer Science, Engineering, Maths, Physics)., • 2–4 years’ experience in a technical, data, or engineering-focused role., • Strong skills in Python, SQL, and Excel/VBA., • Experience building or maintaining ETL/data pipelines, particularly around APIs or FTP processes., • Working knowledge of Microsoft Azure and Git., • Excellent analytical, communication, and problem-solving skills., • A proactive, curious mindset and a willingness to take initiative. Desirable • Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit)., • Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect)., • Exposure to financial markets, asset management, or consulting environments. This role would suit someone who is technically strong, logical, and ambitious, with the maturity to take ownership in a lean setup. Ideal candidates may come from consulting, banking, or buy-side firms, or from smaller environments where they’ve had end-to-end responsibility. If you’re looking for a role that will stretch your technical breadth, give you real impact, and expose you to the inner workings of a hedge fund, this opportunity stands out. To apply, either send your resume to , or apply via the link above.

Working for an industry leading, high-growth SaaS business with some of the biggest brand names in the world as customers, the Backend Engineer will build innovative next-gen solutions that are at the forefront of the data industry. In this role, the Backend Software Engineer will be given full autonomy, taking ownership from design phase through to deployment, building scalable backend systems. The Backend Engineer will be responsible for the design, build and deployment of industry leading software solutions. You’ll work in collaboration with product, design and the wider engineering team to improve and scale existing features, as well as build brand new ones. The Backend Engineer will have: • Experience as a Backend of Full Stack Software Engineer, • Strong proficiency with 1 of the following languages (multiple is a bonus!); Golang, Java, .NET or C, • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud, • Solid grasp of CI/CD practices, unit testing and Kubernetes, • Could come from roles like Back End Engineer, Back End Developer or Fullstack Engineer, They offer a great package on top of your basic salary, including a bonus, private health and a generous pension. With the growth that they are going through, there is also plenty of opportunity for career progression. Backend Engineer London / hybrid (2 days in office) £75,000 + bonus + benefits

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

SDET - £700 per day inside IR35 - London (hybrid 3 days per week in the office) - C# experience Please note: This role requires candidates to be able to commute into the London office 3 days per week. La Fosse have partnered with a global organisation to recruit an SDET (Software Development Engineer in Test) on a contract basis. This role will be responsible for designing, developing, and executing automated test solutions across multiple applications and platforms. The SDET will own the automation strategy, develop and maintain test scripts using C# and Selenium, implement behavior-driven testing with a BDD framework, and ensure comprehensive test coverage aligned with business requirements Key requirements: • Strong experience in C# for test automation development, • Hands-on experience with Selenium WebDriver for web application testing, • Proficient in BDD frameworks (e.g., SpecFlow, Cucumber) to implement behavior-driven tests, • Experience designing, developing, and maintaining automated test scripts for multiple applications and platforms, • Solid understanding of test automation strategy and best practices, including test architecture, framework design, and reusable components, • Familiarity with CI/CD pipelines and integrating automated tests into build and deployment workflows (e.g., Azure DevOps, Jenkins), • Ability to analyze business requirements and translate them into automated test scenarios, • Knowledge of API testing tools (e.g., RestSharp, Postman) and integration testing is a plus, • Experience with version control systems (e.g., Git) and collaborative development practices Interview process: 2 stages 1st stage - Technical coding interview over teams 2nd stage - situational/competency interview over teams. Please click the link to apply or reach out to me directly on

Company Description governr, created by technology integration experts, addresses the key challenges of AI adoption by facilitating the fast, scalable, and secure implementation of third-party AI tools. We ensure that AI can be used safely, effectively, and efficiently at scale. Why join us: • At the forefront of the AI revolution – Drive how businesses adopt and scale AI worldwide., • Work with world-class talent – Join a diverse, ambitious team tackling the toughest challenges., • Direct exposure to founders – Learn, grow, and shape strategy alongside experienced entrepreneurs., • Ownership from day one – Take the lead, make bold decisions, and see your impact at scale. Role Description This is a full-time hybrid role based in London for a Full Stack Engineer. The Full Stack Engineer will work with the product team to design and develop both the front-end and back-end of our product. Day-to-day tasks include collaborating with cross-functional teams, maintaining and improving existing features, troubleshooting and debugging, and ensuring the scalability and performance of software systems. Qualifications • 5 years of demonstrable professional experience as a front-end or full-stack engineer, • Back-End Web Development and Software Development skills (Python/ Node.js/ Typescript), • Front-End Development (React/ TypeScript/ CSS proficiency essential), • Experience in full-stack development with SQL databases (Postgres) and deployment on AWS or Azure, • Bachelor's degree in Computer Science, Engineering, or related field, • Experience with AI stacks, model components, and integration is preferred, • Right to work in the UK It is a great opportunity to get in early, help shape the product from the ground up, and participate in shaping the future of AI adoption!

Backend & Integrations Engineer – Fully Remote – AI-Powered SaaS Client Open to applicants from UK We're looking for a hands-on Backend Engineer to help shape a growing applications engineering function. If you're confident across Python APIs, integrations, and workflow orchestration—and excited by the potential of AI-assisted development—this could be a great fit. You’ll work with automation-generated code, build connectors to external systems, and embed AI tooling into daily engineering workflows. This is a high-impact role in a fast-moving team solving real-world productivity challenges. Key Skills • Python, • API integrations, • SQL, • Data modeling, • Sharepoint, • Webhooks, • AI-assisted development (Cursor, LLMs, guardrails), • CI/CD, Docker, cloud exposure (Azure, AWS, GCP) Benefits • 25 days annual leave + public holidays, • 7.5% matched pension scheme, • Private healthcare (includes family cover & pre-existing conditions), • Flexible hybrid working (2 days per fortnight in London office), • Regular social events and offsites, • On-site gym and fitness classes, • Share options available Sponsorship not available

Software Engineer - Python (FinTech) Join a fast-growing fintech on a mission to redefine how people interact with their finances. Help build a real-time platform that empowers individuals and businesses with smarter, faster and more transparent financial tools, all wrapped in a seamless user-centric experience. We believe in challenging the status quo, building products people love, and having fun along the way. We’re looking for a talented Python Engineer who’s passionate about creating an exceptional real-time data platform that will process and deliver data instantaneously; allowing for instant insights and actions. In finance, these systems are crucial because markets move very quickly, and delays of even milliseconds can have big consequences. Essential skills: • 3+ years of experience in Python development., • 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda), • Exposure building and managing data pipelines in production., • Experience integrating serverless functions (AWS, Azure or GCP)., • Passion for fintech and building products that make a real difference. Day to day: • Develop and maintain our real-time data streaming pipelines., • Write clean, reusable and scalable code., • Optimise performance and troubleshoot issues across the platform., • Stay up to date with the latest development trends and tools., • Collaborate with product and engineering to deliver high-quality features. Benefits: • Opportunity to shape a product used by thousands (soon to be millions!) of customers., • Collaborative, supportive, and innovative team culture., • Access to the latest tools and technologies., • Flexible working hours with onsite, hybrid and remote options., • Competitive salary with an endless list of benefits.

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do • Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives., • Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets., • Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence., • Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency., • Implement best practices for data modeling, governance, and security across all platforms., • Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality., • Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development., • Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is essential., • Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security., • Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution., • Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects., • SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development., • Infrastructure as Code: Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar., • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes., • Communication and Problem solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset. About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build • £600-700 p/d (Outside IR35), • 5-month initial contract (extensions likely), • Hybrid: London (2 days/week on-site) The Role Join a newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. As Tech Lead, you’ll drive technical delivery across a team of ten engineers, staying hands-on while setting the standard for Infrastructure-as-Code, DevOps, and platform engineering. You’ll work at the intersection of architecture and delivery, ensuring solutions are built securely, efficiently, and to a consistently high standard. This is a hands-on technical leadership role, not a people management one. What They’re Looking For (Non-Negotiables) • Tech Lead / Principal Engineer experience on large-scale Azure platform builds, • Azure Cloud expertise (enterprise-scale landing zones, networking, security, governance), • Expert-level Terraform for modular, composable infrastructure-as-code, • Hands-on experience with Kubernetes in production environments, • Delivery leadership in DevOps-driven teams using GitHub Actions / Azure DevOps, • Proven ability to mentor engineers and embed technical standards, • Strong grasp of Kanban / continuous-delivery workflows What You’ll Work With • Azure Cloud: CAF enterprise-scale architecture, policy automation, governance, • Terraform: Modular provisioning, testing, and deployment patterns, • Kubernetes: Workload orchestration and container management, • CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation, • Event-Driven Architecture: Kafka or similar messaging systems, • Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc., • Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves • Experience in regulated environments (banking, fintech, healthcare), • Background in Site Reliability Engineering or DevOps transformation, • Exposure to FinOps / cost optimisation, • Familiarity with Azure Enterprise Scale Landing Zones Accelerators, • Microsoft certifications (AZ-400 / AZ-305 or equivalent) Why Join / Projects This is your chance to shape a greenfield banking platform from day one, defining the standards, practices, and automation that will underpin a regulated enterprise cloud You’ll have genuine technical ownership, influence how a modern engineering culture takes root, and see your work directly impact a mission-critical delivery. (Option to extend or convert to permanent after initial term.) Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: Data Pipeline Development & Optimisation: • Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform., • Optimise data pipelines for performance, efficiency, and cost-effectiveness., • Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: • Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies., • Develop and maintain data processing logic for cleaning, enriching, and aggregating data., • Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: • Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services., • Implement best practices for Databricks development and deployment., • Optimise Databricks workloads for performance and cost., • Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: • Integrate data from various sources, including relational databases, APIs, and streaming data sources., • Implement data integration patterns and best practices., • Work with API developers to ensure seamless data exchange. Data Quality & Governance: • Hands on experience to use Azure Purview for data quality and data governance, • Implement data quality monitoring and alerting processes., • Work with data governance teams to ensure compliance with data governance policies and standards., • Implement data lineage tracking and metadata management processes. Collaboration & Communication: • Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions., • Communicate technical concepts effectively to both technical and non-technical audiences., • Participate in code reviews and knowledge sharing sessions. Automation & DevOps: • Implement automation for data pipeline deployments and other data engineering tasks., • Work with DevOps teams to implement and Build CI/CD pipelines, for environmental deployments., • Promote and implement DevOps best practices. Essential Skills & Experience: • 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks., • Strong proficiency in Python and Spark (PySpark) or Scala., • Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns., • Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database., • Experience working with large datasets and complex data pipelines., • Experience with data architecture design and data pipeline optimization., • Proven expertise with Databricks, including hands-on implementation experience and certifications., • Experience with SQL and NoSQL databases., • Experience with data quality and data governance processes., • Experience with version control systems (e.g., Git)., • Experience with Agile development methodologies., • Excellent communication, interpersonal, and problem-solving skills., • Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs)., • Experience with data visualisation tools (e.g., Tableau, Power BI)., • Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes)., • Experience working in a financial services or economic data environment., • Azure certifications related to data engineering (e.g., Azure Data Engineer Associate).

Full-Stack Engineer – London A high-growth, AI-native enterprise software startup is looking for seasoned Full-Stack Engineers in London to help build and scale their AI-enabled workspace for professional services, investment banking, and asset managers. What you’ll be doing • Building and maintaining frontend web applications using React and Next.js, • Developing, testing, and deploying backend services and APIs (Python preferred, e.g. Django, FastAPI), • Working closely with founders, design, growth, and other engineers to ship high-impact features, • Ensuring scalability, performance, security, reliability and maintainability across the full stack, • Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation, • Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices, • Mentoring junior engineers and helping improve engineering practices across the team What they’re looking for • At least 5 years’ professional software engineering experience, • Strong experience delivering production-grade web applications with React and Next.js, • Solid backend skills, preferably in Python, with good understanding of both relational and NoSQL databases, • Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis, • Experience with containerisation (Docker, Kubernetes), asynchronous processing, DevOps, and cloud deployment environments, • An ability to solve complex problems, work under shifting priorities, and thrive in a fast-paced startup environment Why this is a compelling opportunity • You’ll work side-by-side with experienced founders who’ve previously built and exited VC-backed startups, • Competitive salary plus equity, offering genuine upside, • A chance to help shape a generational product and scale it from a small team to large global deployments, • A challenging but rewarding environment: you’ll often be in unfamiliar territory, but you’ll have real ownership and visible impact If you’re a pragmatic engineer who enjoys building robust, scalable, full-stack web systems, and you’re excited by working on next-gen enterprise AI products, this could be the right next step.

Go Engineer - London - Energy Software Company Location: Hybrid (London / Remote UK) Employment Type: Full-time Salary: Competitive + benefits + stock options About Us We're working with an energy technology company that's on a mission to accelerate the global transition to clean, reliable, and intelligent energy systems. Our software platform empowers utilities, grid operators, and renewable energy providers to manage energy assets, forecast demand, and optimize performance in real time. As we continue to scale, we’re looking for talented engineers who want to build meaningful technology that drives sustainability and innovation in one of the most critical industries of our time. The Role They're seeking a Golang Software Engineer to join our backend engineering team. You’ll design, develop, and maintain the core systems that power our energy intelligence platform — from real-time data processing to distributed services that handle millions of data points daily. What You’ll Do • Develop high-performance backend services and APIs using Go (Golang)., • Collaborate with data and DevOps teams to deliver scalable, cloud-native solutions., • Design and implement reliable microservices that integrate with IoT devices, energy assets, and analytics pipelines., • Optimize performance, scalability, and reliability across our systems., • Participate in code reviews, architectural discussions, and agile ceremonies., • Contribute to our mission of building cleaner, smarter, and more resilient energy infrastructure. What they are looking for • 3+ years of professional experience in backend software development (with at least 1–2 years using Golang)., • Solid understanding of distributed systems, concurrency, and API design., • Experience with PostgreSQL, Kafka, Redis, or similar technologies., • Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)., • Strong problem-solving skills and attention to performance and reliability., • Bonus points for experience in the energy sector, IoT systems, or data engineering. Why Join • Shape technology that enables a sustainable energy future., • Competitive pay, stock options, and flexible working hours., • Collaborative, mission-driven culture with a focus on innovation and impact., • Opportunities for growth, learning, and working with cutting-edge technologies., • Join a team passionate about solving real-world problems at global scale.

AI Infrastructure Engineer Location: London (Hybrid – minimum 3 days/week onsite) Salary: Up to £80k + potential share options About the Role 🧠 A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the internal AI platform powering future automation and AI copilots. Why This Role Is Different? • Greenfield AI infrastructure: build the foundation from zero, • Direct access to decision-makers: no layers of product/PM slowing you down, • Ownership & growth: clear path to Head of AI Infrastructure / AI Platform Lead, • Hybrid London office: minimum 3 days onsite, hands-on role, fast-paced environment What You’ll Do 🔧 • Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems), • Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots), • Build Python and API integrations, using low-code/no-code tools (Zapier, Make, Matillion) where it speeds things up, • Prototype internal automations and AI-driven tools to streamline operations and M&A integration processes, • Monitor, ensure reliability, and scale integrations and pipelines, • Document and modularize infrastructure for future AI engineers ✅ Must-Haves: • Python & SQL experience, • Data engineering skills: pipeline design, data modeling, schema development, • Experience with API integrations, webhooks, and low/no-code automation tools (Zapier, Make, Matillion), • Comfortable in AWS or Azure environments, • Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: • Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting, • Familiarity with Snowflake or modern cloud data warehouses, • Awareness of LLM APIs, RAG concepts, or AI workflow orchestration Who You Are 🎯 • Early-career to mid-career (2–6 years experience), eager for ownership and growth, • A pragmatic builder who enjoys wiring systems together and making data flow end-to-end, • Hands-on, execution-focused, and comfortable shipping fast rather than waiting for perfect architecture, • Curious about AI and automation, with experience or interest in RAG, internal copilots, or AI workflows, • Able to communicate clearly with technical and non-technical stakeholders 📩 Interested? If you’re a Python + data + integration engineer who enjoys building AI foundations rather than just maintaining systems, apply now — this role puts you at the centre of a real AI transformation, with your fingerprints on the whole stack.

Build the engine behind the platform, transforming frontline access. At Cocentric, we’re scaling Connect – our flagship SaaS platform built to simplify workforce access, provisioning, and digital identity. From automated onboarding to secure SSO and real-time data integrations, Connect is helping frontline organisations empower their people at scale. We’re looking for a Software Engineer to help shape and build the next generation of Connect. You’ll work as part of a multidisciplinary team across engineering, product, and architecture – designing services, writing code, and solving meaningful problems that impact thousands of employees. This is a hands-on, delivery-focused role for someone who enjoys building secure, scalable back-end systems and thrives in a high-trust, collaborative environment. WHAT YOU WILL DO • Develop and maintain back-end services, APIs, and integrations for the Connect platform, • Write clean, efficient, and testable C# code that performs at scale, • Contribute to the design and evolution of Connect’s architecture, working closely with architects and senior engineers, • Collaborate with front-end developers, QA, and product teams to deliver end-to-end features, • Build with performance, security, and maintainability in mind – always, • Write and maintain automated unit and integration tests within our CI/CD pipeline, • Contribute to technical planning, estimation, and documentation, • Continuously improve our development processes and engineering standards WHAT YOU’LL BRING • Strong experience in C# and the .NET ecosystem, • Experience building scalable, secure applications in Azure (Service Fabric, Cosmos DB, Azure Functions, etc.), • Solid understanding of modern back-end architecture – including microservices, APIs, and messaging patterns, • Familiarity with CI/CD pipelines, automated testing, and DevOps practices, • Experience troubleshooting production issues and delivering resilient solutions, • A collaborative mindset and great communication skills – able to work well across disciplines, • Bonus: experience with identity systems (e.g. Microsoft Entra ID / Azure AD), SSO, or HRIS integration OUR TECH STACK • Frontend: React, JavaScript, • Backend: C#, .Net, Azure Service Fabric, Kubernetes, • Infrastructure: Azure, Service Fabric, Cosmos DB WHY COCENTRIC • Be a key part of a product that’s transforming how the frontline workforce connects, • Help shape the technical foundation of a platform built for scale and impact, • Work alongside a talented, fast-growing team backed by investment and momentum, • Hybrid working model with a base in our London office and flexibility to work from home, • 29 days annual leave, including a day off for your birthday, plus bank holidays., • Our office closes over Christmas, • Generous private medical care and additional perks with Vitality, • Cocentric recognise that your family is important and being able to spend quality time with your family as it grows is a wonderful experience. This is why we offer enhanced Maternity, Paternity, Adoption and Parental leave.

2nd Line IT Support Engineer – Up to £45,000 | West London | Hybrid | Permanent We’re looking for a 2nd Line IT Support Engineer to join a global investment management firm based in West London, providing escalation-level IT support and ensuring seamless service delivery across modern endpoint environments. You’ll act as the bridge between 1st line, onsite, and infrastructure teams — managing complex technical issues, delivering VIP support, and taking ownership of Microsoft 365 and endpoint management tools (Intune, Configuration Manager, Autopilot). This is a hybrid, full-time permanent role offering long-term career development into infrastructure and cloud engineering within a collaborative, high-performing global tech team. PLEASE NOTE: Visa Sponsorship is not offered for this role and you must be based in, or within commutable distance to West London - this is a hybrid role 2-3 days onsite. What You’ll Do • Resolve escalated 2nd line support tickets and maintain strong SLAs, • Deliver VIP support to senior stakeholders, • Manage Windows 11 endpoints, Intune, and Autopilot deployments, • Support M365 apps (Teams, SharePoint, Exchange, OneDrive), • Collaborate with the global infrastructure team on automation and cloud projects, • Maintain technical documentation and knowledge base materials What We’re Looking For • Strong experience in a 2nd line or escalation IT support role, • Strong Microsoft 365 and endpoint management skills, • Excellent troubleshooting across hardware, software, and networking, • Hands-on experience with Intune, Configuration Manager & Azure Virtual Desktop, • Great communicator with a proactive, service-driven mindset, • IT certifications (e.g. CompTIA, AZ-104, MD-102) are a plus What’s on Offer • Up to £45,000 per year, depending on experience, • Hybrid working (West London office), • Global exposure and professional growth opportunities, • Strong culture of collaboration, inclusion, and wellbeing

Windows/Desktop Support Engineer 5-Days onsite in London 6 Month Contract Start Date - ASAP Rate - £250/Day Required Skills & Experience: • Proficiency in Microsoft Office applications (e.g., Excel, Teams) and broader Microsoft 365 suite., • Strong interpersonal skills with the ability to explain technical concepts to non-technical users., • Experience working within a Level 2 service desk team in a complex organizational environment., • Solid understanding of networking, operating systems, VPNs, and application deployment., • Familiarity with iOS devices in managed environments., • Hands-on experience with laptop imaging, maintenance, and repair., • Knowledge of Microsoft Intune in a managed services context., • Good understanding of ITIL service delivery processes., • Strong analytical skills and technical knowledge of hardware/software systems., • Experience using ServiceNow for IT service management. Mandatory Technical Skills: • Windows Server, • EUC (End-User Computing) Desktop Engineering, • Azure Virtual Desktop Please apply with your up to date CV in English.

About Venn Apps In the world of e-commerce, your brand identity is your most valuable asset. At Venn Apps, we build powerful e-commerce technology for Shopify merchants through our Software-as-a-Service platform. Our products and apps bring brands to life and help businesses deliver world-class shopping experiences across web and mobile. Our team has over three decades of collective experience creating digital products that have scaled to millions of users. We work closely with Shopify and, over the last seven years, have developed a global portfolio of clients including ANINE BING, Motel Rocks, AYBL, Toteme, Astrid & Miyu, and other international retailers across the US, EU, and Australia. The role TWe’re looking for a Software Engineer to join our growing team and help take our SaaS platform and client solutions to the next level. You’ll be responsible for building and maintaining the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that scale globally. This is a fantastic opportunity to join a rapidly growing startup as we enter the next phase of expansion. Note: This is a hybrid role — 4 days in the office (Mayfair, London) and 1 day working from home. What You’ll Do • Build and maintain performant, reliable web applications using React, TypeScript, and Next.js, • Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run, • Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces, • Write clean, testable, and maintainable code following best practices, • Integrate with third-party APIs and Shopify’s ecosystem, • Contribute ideas to improve code quality, developer workflows, and overall architecture, • Help shape new product features from concept to production Who We’re Looking For • 2–4 years’ experience as a software engineer (or equivalent commercial experience), • Strong knowledge of React, TypeScript, and Next.js, • Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure), • Understanding of API design and asynchronous data handling, • Familiarity with CI/CD workflows and version control (Git), • Strong problem-solving skills and attention to detail, • Comfortable working in a fast-paced, collaborative environment, • Passionate about building great products and continuously learning Benefits • Competitive salary at going market rates dependant on experience, • 33 days paid holiday, • We are an early stage startup so your work will have huge impact, • Flexible working arrangements, • We provide all employees with the best tools they need to excel at their job, • Office in the heart of Mayfair, London, • Regular company socials and events, • We are an equal opportunity employer and value diversity, • Direct training from the co-founders of the business., • You will be joining a young, fun, and rapidly growing team of passionate and talented individuals. Interview process • In person interview with team member, • Implementation task, • Interview with founder(s)

Full Stack Commerce Engineer (Generative AI/ML) – Manager Level LOCATION: London About the Team You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects from strategy through implementation, using the latest technologies – with a particular focus on Generative AI – to help our clients achieve market leadership. You’ll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. Role Overview As a Full Stack Commerce Engineer Manager, you will: • Lead client-facing engagements and design AI-powered solutions., • Build full-stack applications integrating Generative AI (OpenAI, Google Gemini, Nvidia)., • Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs)., • Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL)., • Mentor teams and shape technical strategy for global brands. What we’re looking for: • Proven experience in client-facing engineering roles., • Full Stack development expertise (Python, JavaScript)., • Hands-on cloud experience (Azure or GCP)., • Integration with Generative AI services and AI/ML patterns (RAG, MLOps)., • Strong database management skills. Nice-to-have: • Cloud certifications (Azure/GCP)., • Experience with vector databases (Pinecone, Weaviate)., • Retail or CPG industry exposure. Why Accenture? • Competitive salary and benefits (30 days’ vacation, private medical, charity leave)., • Work on cutting-edge AI projects for global brands., • Inclusive, innovative culture with endless growth opportunities. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, Song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets, and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values include Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

Role – AI Engineer Location - London (Hybrid) Salary - £75K - £90K Role Type – Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented AI Engineer eager to make an immediate impact on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As an AI Engineer for this startup, you will have the chance to: • Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes., • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions.Key Skills, • Proficiency in Python, TensorFlow, or PyTorch, • Experience with machine learning algorithms and frameworks, • Strong understanding of data pre-processing, feature engineering, and model evaluation, • Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings, • Knowledge of natural language processing (NLP) and computer vision is a plusExperience, • 3+ years in AI, machine learning, or data science roles., • Proven track record of deploying AI models into production environments., • Experience with data manipulation and analysis, using tools like Pandas and SQL., • Involvement in full project lifecycles, from concept to deployment and monitoring.

Lead .NET Engineer - Hybrid - £700/day Outside IR35 | WeathTech Platform | Digital Wealth | Azure | Microservice Architecture We’re seeking a Lead .NET Engineer to join a cutting-edge WealthTech platform on a contract basis. This is a hands-on technical role, driving the development and delivery of high-performance investment and portfolio management solutions. Location: London, hybrid Contract Length: Initially 12 months Day Rate: £700/day Outside IR35 About the Role: As a Lead .NET Engineer, you’ll be responsible for the architecture, development, and deployment of core features on a digital wealth and investment platform. You will work closely with product owners, data teams, and other developers to deliver secure, scalable, and compliant solutions for investors and advisors. Key Responsibilities: • Lead the development of. NET-based backend systems for investment, portfolio, and tax-efficient schemes (EIS/SEIS)., • Design, implement, and maintain scalable APIs and services that support high-volume transactions and real-time calculations., • Collaborate with Product Owners and Tech Leads to translate business requirements into technical solutions. Skills & Experience: • Strong experience with C#/.NET Core and associated frameworks., • Proven experience building and maintaining financial or investment platforms., • Experience with relational databases (SQL Server, PostgreSQL) and data modeling., • Familiarity with cloud platforms Azure and microservices architecture., • Knowledge of financial regulations, investment products, or EIS/SEIS schemes is highly desirable. Lead .NET Engineer - Hybrid - £700/day Outside IR35 | WeathTech Platform | Digital Wealth | Azure | Microservice Architecture