Cloud engineer jobs in London - Page 7Create job alerts

What You’ll Do • Design, build, and own end‑to‑end features across both frontend and backend systems, • Architect scalable, secure, and maintainable platforms for private banking and institutional use cases, • Take ownership of key technical decisions, balancing execution speed with delivery quality, • Partner closely with product managers and designers to turn requirements into robust technical solutions, • Build and maintain APIs, services, web and mobile applications, and data models for modern digital banking experiences, • Set and uphold high standards of code quality through testing, peer reviews, and automation, • Develop and evolve core platform foundations, shared components, and internal tooling, • Embed security, performance, and resilience best practices into everything you deliver, • 8–12+ years of experience as a senior or full‑stack software engineer, owning and operating production systems in fast‑paced environments, • Strong hands‑on experience building modern web and mobile applications across frontend and backend, • Proficient with modern frontend frameworks (e.g. React, TypeScript) and backend technologies (e.g. Node.js, Java, Python, or similar), • Solid experience with CI/CD pipelines and DevOps tooling (e.g. Jenkins, Ansible), with exposure to containers and Kubernetes, • Deep understanding of system architecture, APIs, databases, and cloud infrastructure, • Comfortable acting as the primary technical owner in complex or ambiguous problem spaces, • Demonstrates a strong sense of ownership and pride in delivering reliable, well‑designed systems, • Clear, effective communicator who collaborates well within cross‑functional teams, • Passionate about clean, scalable code and engineering excellence, • Experience in financial services, fintech, or other regulated environments is advantageous, • Familiarity with security, data privacy, and regulatory compliance considerations is highly valued

Machine Learning Engineer Location: London (Hybrid, approx. 3 days per week onsite) Salary: Up to £65,000 (depending on experience) NOTE: Candidates must be eligible for UK Developed Vetting (DV) This is an opportunity to work at the forefront of applied AI within highly secure and mission-critical environments. You’ll be contributing to the development of advanced machine learning and generative AI solutions that deliver real-world impact across complex, high-stakes domains. You will be embedded within a multidisciplinary engineering team, working across the end-to-end delivery of machine learning systems. This includes building models, running experiments, and deploying scalable solutions using modern cloud and MLOps tooling. Key Responsibilities Include: • Designing and developing machine learning models (e.g. classification, forecasting, anomaly detection), • Supporting experimentation cycles: hypothesis definition, testing, and evaluation, • Contributing to the deployment of models into production environments, • Building and maintaining ML pipelines using AWS services, • Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines), • Implementing best practices in experiment tracking, model versioning, and reproducibility, • Monitoring model performance and supporting continuous improvement, • Collaborating with engineers, data scientists, and stakeholders across the delivery lifecycle Required Skills & Experience • Minimum 1+ year of commercial experience in machine learning or data science, • Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost, • Exposure to AWS services (e.g. S3, Lambda, SageMaker), • Understanding of core ML concepts: model evaluation, validation, and experimentation, • Familiarity with MLOps or experiment tracking tools (e.g. MLflow, Weights & Biases), • Awareness of LLMs or generative AI concepts, • Strong problem-solving ability and willingness to learn in a fast-paced environment, • Ability to communicate technical concepts clearly Desirable Experience • Experience with LLM frameworks (e.g. LangChain), • Knowledge of vector databases or RAG architectures, • Exposure to Docker or containerised environments, • Familiarity with data processing tools (e.g. Spark, Dask), • Understanding of CI/CD or infrastructure as code If you are an ambitious Machine Learning Engineer looking to build real-world AI systems in a high-impact environment, apply today.

Data Engineer - SC Cleared 6 Month Contract Hybrid - 2 days per week onsite Please note: Active SC Clearance is required for this role A leading organisation within the UK financial sector is embarking on a major data transformation programme. They are looking for an experienced Data Engineer to help design and deliver a modern, cloud‑first data platform that will underpin some of the organisation’s most critical functions. Responsibilities: • Design, build and deploy scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage., • Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake., • Champion strong data quality, governance and observability practices., • Modernise legacy systems and support large-scale migrations into Azure., • Provide technical leadership, set engineering standards and contribute to architectural decisions., • Mentor engineers and foster a culture of continuous improvement., • Work closely with architecture, analytics and business teams to align engineering solutions with organisational needs. Minimum Criteria • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory., • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing., • Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps)., • Strong understanding of data architecture principles and cloud-native design patterns. Essential Criteria • Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy., • Proficiency in Linux/Unix environments and shell scripting., • Deep understanding of source control, testing strategies, and agile development practices., • Self-motivated with a strategic mindset and a passion for driving innovation in data engineering. Desirable Criteria • Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives., • Familiarity with Apache Airflow, data modelling, and metadata management, • Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit your CV.

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025. We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling., • Supporting Families – Enhanced parental leave pay, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE The Data Science Engineer is a pivotal technical role focused on supporting the development of specialised software and tools that enable our Marketing Effectiveness team to deliver data driven insights to our clients. Sitting at the intersection of Data Science and Engineering within the Apollo Innovation team, this role helps drive the transition from manual workflows to automated, production-ready systems. Beyond the hands-on improvement and maintenance of our existing tools to guarantee operational stability, you will have the opportunity to contribute directly to our R&D. You will drive innovation by using your technical experience to develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT • Maintain and enhance core Python modelling tools for the Marketing Effectiveness team., • Manage the migration of manual workflows into automated, production-ready software., • Develop in-house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition., • Provide technical support, diagnosing and resolving complex bugs in tools and innovation products., • Liaise with analytical stakeholders to ensure technical builds directly solve domain-specific problems (MMM/Econometrics)., • Responsible for the configuration and accuracy of innovation products used in client delivery., • Produce comprehensive technical documentation and advocates for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood., • Actively mentor Junior Engineers, providing guidance and participate in peer code reviews to ensure team-wide quality. WHAT YOU WILL BRING TO THE TEAM MUST HAVE SKILLS • Strong Python engineering skills, writing clean, modular, and production-ready code., • Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics., • Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences., • Strong command of software development fundamentals, including version control (Git) and agile methodologies., • Proficiency in SQL for robust data extraction, manipulation, and analysis., • An academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS • Familiarity with cloud platforms, specifically GCP (Google Cloud Platform)., • Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA., • An understanding of deployment practices and CI/CD concepts.

At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today. We are looking for Python AI Engineer with Databricks exposure Role for our well-known client. • Location: London UK, • Type of Work: Hybrid (2-3 days from the office in a week), • Employment Type: FTE (Full Time Employment) or Inside IR35 Contract Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills Ready to Take the Next Step? If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together KRAZ nr. 28233

FRESH has partnered with a fast-growing, SaaS company who are looking for a Senior PHP Engineer to join its engineering team at an exciting stage of growth. The business builds modern, cloud-based software used by enterprise clients across the global hospitality, spa, and wellness industry. Following significant recent funding, this role offers the opportunity to have a real impact on product direction, technical architecture, and scalability as the company continues to expand. The Senior Backend Engineer will focus primarily on backend development, designing and building robust, scalable APIs using PHP (Laravel). The role involves close collaboration with engineering, product, and customer-facing teams to deliver high-quality features that directly support customers’ operational needs. This is a hands-on role suited to someone who enjoys ownership, problem-solving, and contributing ideas throughout the full product development lifecycle. Key Responsibilities • Design, develop, and maintain backend services and APIs using PHP (Laravel), • Work with MongoDB to design, build, and manage data models, • Use Elasticsearch for search functionality, reporting, and data aggregation, • Collaborate closely with engineers, product managers, and customer experience teams, • Take ownership of projects from initial concept through to production Requirements • 5+ years of commercial experience with PHP, ideally using Laravel, • Strong hands-on experience with MongoDB, • Solid experience with Elasticsearch, including search optimisation and reporting, • Experience building APIs that power clean, user-friendly interfaces, • Comfortable working in a fast-growing startup or scale-up environment, • A proactive, self-starting mindset with a passion for learning and problem-solving, • Strong communication skills and a collaborative approach to work What’s on Offer • Competitive salary, • Opportunity to join a high-growth, well-funded technology business at a pivotal stage, • Hybrid working model (London-based office), • Private health insurance, • Generous annual leave allowance

Role: Network Infrastructure Engineer Location: London Salary: £200k - £400k Total Compensation About the Role: We’re seeking a Network Infrastructure Engineer to design, build, and maintain global network systems. You’ll be responsible for infrastructure reliability, secure connectivity, and hybrid data centre and cloud environments. Responsibilities • Design, configure, and maintain network and infrastructure services across global sites., • Implement and support secure connectivity solutions, including firewalls, VPNs, and network segmentation., • Collaborate with security and infrastructure teams to enhance system reliability and performance., • Diagnose and resolve complex issues related to routing, switching, latency, and application delivery., • Manage infrastructure upgrades, capacity planning, and network scalability initiatives., • Develop and maintain high-availability architectures and disaster recovery solutions., • Establish and enforce network security standards and compliance policies across environments. Skills & Experience • Extensive experience supporting large-scale network and infrastructure environments., • Strong knowledge of networking, routing, switching, security protocols, and VPN architecture., • Hands-on experience managing firewalls, network access controls, and secure network design principles., • Proficiency with monitoring, automation, and configuration management tools., • Solid understanding of network performance optimization across multi-OS and hybrid environments., • Experience with scripting or automation workflows to streamline operational tasks., • Excellent communication, documentation, and cross-functional collaboration skills., • Ability to operate effectively under pressure and deliver results in fast-paced environments. Apply now for an confidential chat

Lead Software Engineer- About the role - As a "hands on" Engineering Lead for NeoID—You will lead and manage a small team of engineers, fostering their growth and ensuring delivery excellence. You’ll have the opportunity to work with industry standard protocols such as OAuth2, OIDC and SAML, as well as healthcare's SMART on FHIR and EHR integrations. About the team- This team is entrusted with building Elsevier’s next-generation Identity and Access Management (IAM) platform. It is building and evolving the authentication and authorization backbone for Elsevier’s global products. Its mission is to provide a brand new IAM platform will enable next generation Authorization and Authentication for ALL Elsevier products Qualifications • Current "hands on development" experience as a People Manager of Software Engineers and/or Security Engineering professionals., • Current Experience with Java/J2EE, JavaScript/Typescript, and related technologies, • Familiarity with software development methodologies (Agile, Waterfall, etc.), • Have current hands-on experience with AWS cloud services and infrastructure management. Proficiency in Infrastructure as Code (IaC) tools, especially Terraform, • Proven track record as a people leader, • Understanding of the SAAS development life cycle process, • Experience with at least one major IAM platform (KeyCloak, Auth0, Okta, or similar) – KeyCloak and Auth0 experience are strong pluses. Accountabilities • Managing, mentoring, and supporting a small team of engineers, fostering a culture of security, innovation, and technical excellence, • Collaborating with product managers and stakeholders to define requirements and strategic direction for the platform, including healthcare and life sciences use cases, • Writing and reviewing code, performing code reviews, and ensuring adherence to security and engineering best practices, • Troubleshooting and resolving complex technical issues, providing expert guidance on IAM, security, and healthcare protocol topics, • Contributing to architectural decisions and long-term platform strategy, • Staying current with industry trends, emerging technologies, and evolving security threats in the IAM and healthcare space, • Leading the design and implementation of secure, scalable IAM solutions, with a focus on OAuth2/OIDC and healthcare protocols such as SMART on FHIR and EHR integrations Why Elsevier? Join a global leader in information and analytics, and help shape the future of secure, seamless access to knowledge for millions of users worldwide, including healthcare professionals and researchers. If you are an Engineering Lead ready to expand your skills, take on a hands-on software engineering leadership role, and grow as a people manager, we want to hear from you.

Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid The Company – Building intelligent software for operational efficiency at scale We’re working with a fast-growing technology company building an AI-powered platform designed to improve how businesses operate day-to-day. The product combines real-time data, automation, and modern software tooling to help organisations make faster, more informed decisions and streamline complex workflows. Following strong early traction and significant revenue growth, the company is now entering a key scaling phase – expanding both its product capabilities and engineering team. This is an opportunity to join a business where engineering sits at the heart of product innovation and long-term growth. The Role – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid You’ll join a cross-functional product team responsible for building and scaling core platform capabilities. This is a true full stack role, working across backend services, APIs, and frontend applications. You’ll contribute to systems built primarily in Python (Django), alongside Go services, and help develop modern frontend experiences using Flutter and GraphQL. The role is well suited to someone who enjoys ownership, shipping quickly, and working across multiple layers of a product in a fast-paced environment. What You’ll Be Doing – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Building and shipping end-to-end product features across backend and frontend systems, • Developing scalable backend services in Python (Django) and contributing to Go-based services, • Working on frontend applications using Flutter and GraphQL, • Designing and evolving APIs, data flows, and system integrations, • Collaborating closely with product and design to solve real user problems, • Maintaining and improving production systems for performance and reliability, • Contributing to engineering best practices, architecture, and technical decision-making Tech Stack – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Python (Django), • Go, • Flutter, • GraphQL, • Kubernetes / Cloud infrastructure, • Monitoring and observability tooling, • CI/CD and modern deployment practices The platform is evolving quickly – engineers will have a strong influence on future technical direction. What They’re Looking For – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • 3-7+ years software engineering experience, • Strong backend experience with Python (Django or similar frameworks), • Exposure to Go or willingness to work with it, • Experience building or contributing to frontend applications (Flutter, React, or similar), • Solid understanding of APIs, distributed systems, and scalable architecture, • Ability to ship quickly while maintaining clean, pragmatic code, • Strong communication skills and experience working in cross-functional teams, • Comfortable working in fast-paced, high-growth environments Startup or scale-up experience is beneficial but not essential. Interview Process – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • Introductory conversation, • Technical discussion with the engineering team, • Practical coding or systems-based interview, • Final conversation focused on team fit and long-term growth Why Join – Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid • High-impact role in a rapidly scaling product company, • Opportunity to work across the full stack with modern technologies, • Strong ownership and autonomy within a collaborative team, • Early equity in a high-growth business, • Office-first culture with a strong team environment (London), • £60-120k base + equity + benefits

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We are seeking a Contract Data Integration Engineer within a niche team to provide data/integration, data quality, pipelines and integration layers to clients' platforms. Entailing pipeline development and maintenance, data quality profiling and monitoring, reconciliation and enrichment workflows, graph modelling, and stakeholder reporting on metrics. Ideally you will possess data quality analyst capabilities and/or focus on pipeline architecture, Kafka integration patterns, and export service development. These roles will entail writing production code, both will engage with data quality, and both will contribute to the broader service codebase. Our Contract Assignments are Inside IR35, hybrid working. Initially 6-9 months. About the role/Experience with: • Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts, • Data quality assessment, • Apache Kafka, • PostgreSQL for data modelling, query design, migrations etc, • Data modelling and schema design, • Experience of C# to be able to contribute to existing service/integration codebase, • Memgraph or other graph databases / Cypher, • Jupyter notebooks; ETL/ELT; Git/GitHub workflows and automated testing, • Elasticsearch, Data visualisation, CI/CD About you (ideally): As a Data Integration Engineer you’ll be integral to our client facing delivery teams, working with clients to design and build their technology enabled platform solutions. ● You will be responsible for providing technical thought leadership on client engagements ● You will actively contribute to development team activities and technical solutions where strong attention to detail is required ● You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team, working on critical cloud-based complex application solutions that can be deployed automatically ● You will be responsible for stakeholder management, building client relationships and identifying new opportunities We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region. Why work at GlobalLogic. Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

About the Role We are seeking a proactive and technically skilled Cloud Platform Engineer to support the design, deployment, and maintenance of cloud infrastructure. This role focuses on ensuring platform reliability, scalability, and performance while supporting development and operations teams. The ideal candidate brings hands-on cloud experience, strong troubleshooting skills, and a foundational understanding of DevOps practices. Key Responsibilities • Support the design, deployment, and management of cloud-based platforms, • Monitor cloud infrastructure and ensure system availability and performance, • Assist in provisioning and configuring cloud resources (compute, storage, networking), • Troubleshoot platform issues and implement solutions to improve reliability, • Collaborate with development and DevOps teams for deployments and integrations, • Maintain infrastructure documentation and standard operating procedures, • Support automation and scripting for infrastructure management, • Bachelor’s degree in IT, Computer Science, or a related field, • Minimum 2+ years of experience in cloud engineering, platform support, or infrastructure roles, • Hands-on experience with at least one cloud platform such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, • Basic understanding of cloud architecture, networking, and security principles, • Experience with Linux/Windows systems administration, • Strong troubleshooting and analytical skills, • Familiarity with infrastructure-as-code tools (e.g., Terraform, ARM templates), • Exposure to containerization technologies (Docker, Kubernetes), • Basic scripting skills (Python, Bash, PowerShell), • Understanding of CI/CD pipelines and DevOps practices, • Cloud Infrastructure & Platform Support, • System Administration (Linux/Windows), • Troubleshooting & Incident Management, • Networking & Security Fundamentals, • Competitive, market-aligned compensation, • Opportunity to work with modern cloud technologies, • Career growth and certification support, • Exposure to DevOps and platform engineering practices We are an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration without regard to race, religion, gender, age, disability, or any other protected status.

We are looking for a highly skilled Test Automation Engineer with strong expertise in Microsoft Dynamics 365 and modern automation frameworks using Playwright with .NET (C#). This role will focus on building scalable, maintainable, and enterprise-grade automation solutions, integrating seamlessly with Azure DevOps pipelines, and contributing to a robust quality engineering strategy. Key Responsibilities: • Design, develop, and maintain UI and API automation frameworks using Playwright (.NET / C#), • Implement test automation for Dynamics 365 modules (e.g., Sales, Customer Service), • Develop data-driven and reusable automation solutions aligned with enterprise standards, • Integrate automation suites with Azure DevOps CI/CD pipelines, • Collaborate with developers, BAs, and stakeholders during 3 Amigos / sprint ceremonies, • Perform test automation code reviews and enforce best practices, • Build and maintain test reports, dashboards, and observability metrics, • Ensure automation aligns with shift-left and continuous testing strategies, • Support regression, smoke, and E2E automation suites, • Identify automation gaps and propose improvements Core Technical Skills: • Strong experience in Playwright with .NET (C#) for UI automation, • Hands-on experience with Microsoft Dynamics 365 testing, • Experience in test automation frameworks (POM, BDD, data-driven), • Proficiency in API testing and validation, • Solid understanding of object-oriented programming (OOP) principles DevOps & CI/CD: • Strong experience with Azure DevOps, • Hands-on with:, • Pipelines (YAML-based CI/CD), • Test execution in pipelines, • Test reporting integration, • Experience with Git-based version control Dynamics 365 Expertise: • Good understanding of:, • Entities, forms, workflows, and business rules, • Customizations and configurations, • Test automation challenges in D365 UI Nice to Have: • Experience with BDD tools (SpecFlow / Cucumber for .NET), • Exposure to performance testing tools (e.g., k6, JMeter), • Experience with Azure cloud services, • Knowledge of service virtualization or test data management, • Familiarity with AI-driven testing or self-healing automation Soft Skills: • Strong analytical and problem-solving skills, • Excellent communication and stakeholder management, • Ability to work in Agile / DevOps environments, • Proactive mindset with focus on quality and continuous improvement Key Deliverables: • Scalable Playwright automation framework for Dynamics 365, • Integrated CI/CD automation pipelines in Azure DevOps, • High-quality test coverage and reporting dashboards, • Continuous improvements in automation maturity and reliability

SciPro is proud to be partnered with a leading respiratory imaging company whose unique cloud and AI platform enables large-scale analysis of patient and clinical data, accelerating research and improving outcomes in lung and heart disease. This health tech innovator is seeking a Senior Machine Learning Engineer to build, optimise, and deploy production-grade computer vision models on large 3D medical imaging datasets, with a strong focus on scalable training and high-performance inference. In this role, you will: • Parallelise training across multiple GPUs and GPU nodes, • Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT), • Build cutting-edge ML infrastructure to be deployed at scale You should bring: • MSc or PhD, with 2+ years of industry experience, • Strong Python and PyTorch skills, • Experience with ONNX and/or TensorRT, • Hands-on experience with GPUs (multi-GPU / distributed) is a plus, • Experience with Docker, cloud platforms (e.g. AWS), and CI/CD, • A track record of delivering productionised, scalable ML systems This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives in fast-moving, purpose-driven environments, you will thrive in this position. This is a permanent role, requiring 1–2 days per week in London. Full right to work in the UK without restrictions, time limit, or sponsorship is required. Apply today to learn more!

Role Summary Aubay is seeking a Senior Data Engineer to join our Supermajor client’s trading & supply space and build a robust data infrastructure that supports research and systematic trading strategies. The role involves designing, optimising, and managing real-time and historical market data pipelines in a cloud-native environment, enabling advanced analytics such as TCA and pre/post-trade insights. Required Skills and Experience • Minimum 8 years’ experience in Commodity Trading, Capital Markets, or Investment Banking, • Strong understanding of global futures exchanges and the exchange-traded derivatives lifecycle, • 5+ years working with large financial datasets (market data, order/execution data, positions data), • 5+ years of experience with real-time market data distribution platforms and feed handlers, • Strong programming/scripting skills (Python, PowerShell, C#, SQL or similar), • Experience with time-series databases (e.g., KDB, OneTick), • Knowledge of Parquet-based data storage, • Solid experience in Linux environments and scripting (Bash, Perl), • Experience building and maintaining high-performance data pipelines, • Strong understanding of data validation, monitoring, and error handling, • Exposure to trading analytics (TCA, pre- and post-trade analytics) Desired skills and experience • Familiarity with Kubernetes, containerization, and orchestration tools, • Experience with Databricks or Apache Iceberg, • Advanced experience with time-series databases (KDB, OneTick), • Experience optimising query performance for large-scale datasets Roles responsibilities • Design, build, and maintain real-time and historical market data pipelines, • Evaluate, onboard, and integrate complex data products from external vendors, • Collaborate with traders, stakeholders, and engineering teams to define data requirements, • Develop and enhance analytical data services and statistical functions, • Optimise data infrastructure for fast query execution and high performance, • Ensure data integrity through validation, monitoring, and error handling processes, • Provide operational support, troubleshooting, and issue resolution for data pipelines, • Support the development of trading strategies through high-quality data delivery, • Continuously improve data solutions to enhance trading performance and analytics

Graduate Quantitative Engineer 📍 London (Hybrid) 💰 Up to £100,000 + Bonus The Opportunity A leading multi-asset trading firm is seeking a highly motivated Graduate Quantitative Engineer to join its growing technology team in London. This is a unique opportunity to work at the intersection of quantitative research and high-performance engineering, contributing to cutting-edge trading systems in a fast-paced, collaborative environment. What You’ll Do • Design, develop, and optimize trading systems and quantitative infrastructure, • Collaborate closely with traders and quantitative researchers to implement models and strategies, • Work on high-performance, low-latency systems handling large-scale market data Tech Environment • Language-agnostic environment with exposure to Python, Java, C++, and other modern technologies, • Emphasis on clean code, performance optimization, and robust system design, • Modern development tools, cloud technologies, and data pipelines What We’re Looking For • Strong academic background in Computer Science, Mathematics, Physics, Engineering, or a related field, • Solid programming skills in at least one language (e.g., Python, Java, C++), • Strong problem-solving ability and analytical mindset, • Interest in financial markets and quantitative trading Why Join? • Competitive salary up to £100,000 + performance bonus, • Hybrid working model in London, • Direct impact on trading performance and strategy development, • Collaborative, high-calibre team with strong learning and growth opportunities, • Exposure to cutting-edge technology in a fast-moving industry Apply now or email me at

My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week. \n\nKey responsibilities\n\nFront end implementation for a React application\nVisualizing and interacting with scientific data and workflow progression\nIntegration of AI/ML components with frontend, backend, data and compute infrastructure\nResponsible for high quality software implementations according to best practices, including automated test suites and documentation\nDevelop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them\nParticipate in code reviews, continuously improving personal standards as well as the wider team and product\nLiaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products \n\nBasic qualifications:\n\nDemonstrated experience with frontend software development (e.g. React)\nDemonstrated experience of Python development (e.g. using FastAPI)\nBachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience\nCloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential\nStrong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code\nDemonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications\nExperience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites\nSound understanding of web development best practices, modern design principles, and continuous integration workflows\nKnowledge of agile practices and able to perform in agile software development environments\nStrong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often \n\nPreferred qualifications:\n\nExperience with Docker or containerized applications, especially architecture of multi-container applications\nDemonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations\nKnowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)

AWS DATA ENGINEER: Domain: Telecommunications Location: London,UK Duration: 12 Months Fixed Term Contract Hybrid working 2-3 Days from Office Keywords: End‑to‑End Data Platform Design, Data Strategy, AWS Cloud Architecture, High‑Availability Architecture, Scalable Data Pipelines ,ETL Architecture, Metadata Management, Iceberg, Batch & Streaming Pipelines, Python, Pypark, Data Pipeline Design & Deployment Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain. The candidate will work closely with data architects, business analysts, and cross-functional teams to build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows. Key Responsibilities 1. Data Engineering & ETL Development • Design, develop, and maintain ETL/ELT pipelines using AWS-native services (Glue, Lambda, EMR, Step Functions)., • Implement data ingestion from telecom systems like OSS/BSS, CDRs, mediation systems, CRM, billing, network logs., • Optimize ETL workflows for large-scale telecom datasets (high volume, high velocity). 2. Data Warehousing (Redshift) • Build and manage scalable Amazon Redshift clusters for reporting and analytics., • Create and optimize schemas, tables, distribution keys, sort keys, and workload management., • Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg • Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations., • Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark., • Ensure high performance for petabyte-scale telecom datasets (CDRs, tower logs, subscriber activity). 4. Querying & Analytics (Athena) • Develop and optimize Athena queries for operational and analytical reporting., • Integrate Athena with S3/Iceberg for low-cost, serverless analytics., • Manage Glue Data Catalog integrations and table schema management. 5. Storage (S3) & Data Lake Architecture • Design secure, cost-efficient S3 data lake structures (bronze/silver/gold zones)., • Implement data lifecycle policies, versioning, and partitioning strategies., • Ensure data governance, metadata quality, and security (IAM, Lake Formation). 6. Telecom Domain Expertise • Understand telecom-specific datasets such as:, • CDR, xDR, subscriber data, • Network KPIs (4G/5G tower logs), • Customer lifecycle & churn data, • Billing & revenue assurance, • Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection, etc. 7. Performance Optimization & Monitoring • Tune Spark/Glue jobs for performance and cost., • Monitor Redshift/Athena/S3 efficiency and implement best practices., • Perform data quality checks and validation across pipelines. 8. DevOps & CI/CD (Preferred) • Use Git, CodePipeline, Terraform/CloudFormation for infrastructure and deployments., • Automate pipeline deployment and monitoring. Required Skills • 8–10 years’ experience in data engineering., • Strong hands-on experience with:, • AWS S3, Athena, Glue, Redshift, EMR/Spark, • Apache Iceberg, • Python/SQL, • Experience in telecom data pipelines and handling large-scale structured/semi-structured data., • Strong problem-solving, optimization, and debugging skills. Good to Have Skills • Knowledge of AWS Lake Formation, Kafka/Kinesis, Airflow, or Delta/Apache Hudi., • Experience with ML workflows in telecom (churn, network prediction)., • Exposure to 5G network data models.

Software Engineer Company Description: Rapidly scaling tech company This is a great opportunity to join a product-focused engineering team working on scalable, user-centric solutions. As a Software Engineer, you’ll contribute to designing, building, and maintaining modern software systems that power real-world products. You’ll collaborate with cross-functional teams and ship features that directly impact users — while growing your skills in a fast-paced, supportive environment. Key responsibilities: • Write clean, maintainable code across the full stack (depending on your experience), • Contribute to the design and development of new product features, • Collaborate with product, design, and engineering teams to build reliable systems, • Participate in code reviews, sprints, and technical planning sessions, • Help troubleshoot issues and improve performance, • Stay up to date with new technologies and suggest improvements, • Work with modern frameworks (e.g. React, Node.js, Python, TypeScript, or similar) What we're looking for: • 2+ years of experience in software development (professional or project-based), • Strong coding skills in at least one language (e.g. JavaScript, Python, Go, Java), • Familiarity with modern frameworks and version control (Git), • Understanding of REST APIs and backend/frontend communication, • A growth mindset and willingness to learn, • Bonus: experience working with AI tools, cloud platforms, or data pipelines How to apply: Click apply to submit your application.

Senior Data Engineer £110,000 + 20% bonus Hybrid | London We're working with a global branded entertainment business, operating across multiple international markets, to find a Senior Data Engineer who will shape the future of their data estate. This is a genuine player-coach role at a pivotal moment. The business is mid-transformation, moving from a legacy environment to a modern, cloud-native platform built on Databricks and Azure. You'll define the architecture, drive execution, build the team, and set the technical culture from the ground up. You'll be the technical face of data to the business: sitting with senior stakeholders, translating complex trade-offs into plain language, and holding the line on what gets built right versus what gets fixed fast. Responsibilities as a Senior Data Engineer: • Define the directional architecture for the new data estate, including Lakehouse, Medallion and Eventing patterns on Databricks and Azure, • Lead discovery of the legacy estate: identify what to kill, what to keep, and how to migrate without breaking continuity, • Line manage, hire and develop the Data Engineering squad, setting technical standards and team culture, • Implement modern engineering hygiene: CI/CD, automated testing, observability and FinOps, • Partner with the Data Delivery Lead to balance tactical fixes against strategic build, • Represent the data function in setting organisation-wide standards for coding, security and DevOps Requirements: • 5 to 8 years in data engineering or data architecture, with at least 3 years in a leadership position, • Expert-level Databricks, Azure and SQL/Python, • Proven track record of refactoring legacy estates onto modern platforms without breaking things, • GCP and BigQuery experience is a strong advantage, • High EQ, comfortable presenting to leadership and managing non-technical stakeholders, • A software engineering mindset, not a scripting one Why apply: • Real architectural ownership from day one, not inherited decisions, • A mandate to build the team and culture around you, • Visibility at VP and leadership level across a major international business, • Hybrid working from London If you're a Senior Data Engineer who wants to lead something meaningful rather than maintain something inherited, this is worth a conversation. Apply below or reach out directly. Due to the high volume of applications, not all applicants will receive feedback.

About Klyk At Klyk, we’re on a mission to eliminate waste from the business technology ecosystem. As a certified B Corp, we help modern companies (like Wild, THIS, B Lab) adopt a Circular IT model. We are a Managed Service Provider (MSP) that moves fast. We need a technical heavyweight who can stabilize the Service Desk by tackling the complex issues that slow everyone else down. The Role We are looking for an experienced 2nd line IT Engineer that is passionate about providing outstanding support to our customers and their teams. This role focuses on delivering proactive IT support, leveraging your expertise across Microsoft and Google environments and working on both MacBooks and Windows devices. You’ll play a key role in cyber security for our clients - providing guidance, implementing security solutions, and ensuring best practices are in place to protect their businesses from evolving threats. You will have a strong attention to detail, be confident, display initiative with customers, have a focused outlook and a hunger to learn and grow. You will be up for the challenge of supporting some of the most exciting companies in the UK and working in a demanding fast growth environment where team work is everything. About You • Enthusiastic about IT support and have previous IT service desk experience (minimum 3 years), from a MSP environment, • Experience supporting and troubleshooting both MacBooks and Windows devices, • Experience with Cyber security with administering email security & end-point security, • Experience administering Google Workspace & Microsoft 365 and able to manage users and groups, • Experience managing MDM solutions such as Intune & Jamf across MacBooks and Windows devices, • Experience using Helpdesk solutions such as Autotask to manage tickets and support requests, • Experience using RMM solutions such as DattoRMM to diagnose and monitor hardware and software, • Experience with scripting to define components and run automations, • Ambitious to grow technically and develop expertise in specific tech and cyber areas, • Service focused - you will be able to manage and own support tickets all the way to resolution, maintaining excellent customer service and adhering with SLA’s, • Ability to work under pressure, take initiative and display proactivity, • Be comfortable to have video calls with end-customers to deliver support, • Team-focused - you’re a team player but also work great independently Responsibilities for the role include: • Act as the first point of contact for IT support requests from our customers’ end-users, delivering first and second line IT support, • Conduct root cause analysis to prevent the recurrence of issues, • Respond and resolve support requests, often utilising RMM, • Utilise RMM to monitor device updates both software and hardware, and use to diagnose and remediate support tickets, • Demonstrate proactivity with our customers to respond and resolve issues and recommend service improvements, • Deliver best-in-class customer service based on understanding the request, resolution and appropriate follow-ups, • Monitor and respond to security alerts ensuring protection against potential threats, • Monitor and identify phishing / spam emails through an email security solution, • Support and manage the services that Klyk offer including endpoint security and cloud backup, • Build laptops for new customer employees and perform onboarding call for the starter, • Create and maintain documentation for internal and customer configurations and processes Why work with us? • Competitive salary based on experience and private medical care, • Work at B Corp and purpose driven business, supporting some of the UK’s fastest growing brands, • Experienced founder team with lots of growth opportunities, • Hybrid Role - 2 days in office in London, • Working with clients which are the fastest growing companies in the UK, • Environment where learning is encouraged with learning budget, • 2 days per year paid impact days to contribute to society, • Budget for home set up

Senior Backend Python & AI Engineer London | Full-time Central London £100,000 - £140,000 + Bonus 5 Days a week in Office Join a fast-growing AI startup tackling the global healthcare workforce crisis using cutting-edge automation. Founded by experienced leaders with strong industry traction, the team is building systems that deliver real impact at scale. The Role Build secure, high-performance Back End systems powering AI-driven healthcare operations. You'll design infrastructure for Real Time task execution, observability, and integrations with complex systems, working closely with product and AI teams. Key Requirements • 5+ years in Back End or full-stack engineering, • Experience with Python frameworks (eg FastAPI, Django, Flask), • Strong understanding of distributed systems, concurrency, and task orchestration, • Experience with SQL/NoSQL databases and authentication systems, • Familiarity with CI/CD, Docker, and cloud environmentsWhy Join, • Mission-driven work with real-world impact, • Early-stage role with strong ownership, • Fast-paced, high-calibre team

Job Title: Linux Engineer Lead - VP Location: London Contract Length: 6 Months initially. Rolling contracts up to 2yrs Pay rate: £400-£515 pwd via umbrella The Role We’re building a brand-new Linux and container platform capability across EMEA — and this is a key leadership role in that journey. As a Linux Engineer Lead, you’ll be the technical authority driving the design, build, and operation of enterprise Linux platforms that power containerised workloads, with a strong focus on OpenShift and Kubernetes. This is a hands-on engineering role where you’ll combine deep Linux expertise with modern platform engineering practices to deliver secure, scalable, and production-ready infrastructure in a regulated environment. What You’ll Be Doing • Lead the engineering of enterprise Linux platforms (primarily RHEL) supporting OpenShift/Kubernetes, • Act as the technical authority for Linux across the EMEA platform estate, • Design, build, and maintain highly resilient and scalable container platforms, • Own OpenShift cluster lifecycle (build, upgrade, performance, stability), • Collaborate with Automation, SRE, Security, and Infrastructure teams, • Drive an automation-first approach using Ansible and GitLab pipelines, • Support onboarding of production workloads onto container platforms, • Ensure platforms meet security, compliance, and audit standards, • Integrate monitoring/logging tools (e.g. Splunk), • Act as escalation point for complex incidents, • Contribute to architecture, capacity planning, and platform strategy, • Participate in on-call rota and occasional out-of-hours support What We’re Looking For • Strong experience in Linux engineering (RHEL preferred) in enterprise environments, • Hands-on expertise with OpenShift and/or Kubernetes, • Proven experience in building and operating container platforms at scale, • Solid understanding of automation tools (Ansible, CI/CD, GitLab), • Experience with monitoring/logging tools (e.g. Splunk), • Knowledge of security hardening and compliance in regulated environments, • Ability to act as a technical lead / SME without direct people management, • Strong troubleshooting and incident management skills Nice to Have • Experience with hybrid or cloud-aligned platform design, • Exposure to SRE practices and platform engineering models, • Financial services or regulated industry background Why Join? • Opportunity to build a platform capability from the ground up, • Work on modern containerisation and cloud-native technologies, • High-impact role with strong visibility across EMEA and global teams As a Linux Engineer Lead (VP), you’ll be the technical authority driving the design, build, and operation of enterprise Linux platforms that power containerised workloads, with a strong focus on OpenShift and Kubernetes. This is a hands-on engineering role where you’ll combine deep Linux expertise with modern platform engineering practices to deliver secure, scalable, and production-ready infrastructure in a regulated environment. What You’ll Be Doing • Lead the engineering of enterprise Linux platforms (primarily RHEL) supporting OpenShift/Kubernetes, • Act as the technical authority for Linux across the EMEA platform estate, • Design, build, and maintain highly resilient and scalable container platforms, • Own OpenShift cluster lifecycle (build, upgrade, performance, stability), • Collaborate with Automation, SRE, Security, and Infrastructure teams, • Drive an automation-first approach using Ansible and GitLab pipelines, • Support onboarding of production workloads onto container platforms, • Ensure platforms meet security, compliance, and audit standards, • Integrate monitoring/logging tools (e.g. Splunk), • Act as escalation point for complex incidents, • Contribute to architecture, capacity planning, and platform strategy, • Strong experience in Linux engineering (RHEL preferred) in enterprise environments, • Hands-on expertise with OpenShift and/or Kubernetes, • Proven experience in building and operating container platforms at scale, • Solid understanding of automation tools (Ansible, CI/CD, GitLab), • Experience with monitoring/logging tools (e.g. Splunk), • Knowledge of security hardening and compliance in regulated environments, • Ability to act as a technical lead / SME without direct people management, • Experience with hybrid or cloud-aligned platform design, • Exposure to SRE practices and platform engineering models, • Opportunity to build a platform capability from the ground up, • Work on modern containerisation and cloud-native technologies, • High-impact role with strong visibility across EMEA and global teams, • Blend of hands-on engineering + technical leadership We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform 💸Up to £130,000 per annum plus bonus plus stock 🏠Central London office 🖱️Golang, Rust, C, Kubernetes, Linux, Cloud Native, Distributed systems... Are you a Lead Software Engineer with extensive knowledge of building distributed systems? Looking to join a company who are solving genuine problems that disrupt an industry? Interested in working with the best talent on the market and having a real impact on projects? If so... I'm partnered with a very exciting Cloud scale-up who have received record Series A funding and are looking for innovative Lead Software Engineers to join their ambitious team! With a new VP of Engineering who has spent much of their career building out a world leading Cloud platform, the team are growing fast and they're looking to attract the best talent on the market. Having received huge investment, they are on a journey to truly disrupt the industry and are not held back by any legacy code or old customers. This means that they're able to build out state-of-the-art, Greenfield code which can focus on being the worlds most accountable and sustainable cloud provider🌳 What they're looking for in a Lead Software Engineer: • Tech agnostic but preferable experience working with Golang, Rust, Java and/or C/C++., • In-depth knowledge of distributed systems, building solutions at scale where performance, reliability and availability are key considerations., • Confident in leading the definition and creation of solutions from 0-1, solving ambiguous and complex challenges., • Experience working on software infrastructure or building Cloud native software using Kubernetes., • Understanding of systems design and Open Source components., • If you have knowledge of building virtual machines - Virtual servers, virtual networking or network programming - that's a plus... but definitely not needed! If this sounds like you, feel free to apply and I can run through more details! Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform

Platform Engineer (Azure, Terraform, DevOps) – Rebuild a cloud platform using Terraform IaC Hybrid role – 1-2 days per week in the office in London. A Platform Engineer is required by a growing SaaS company delivering a compliance platform in Azure. This Platform Engineer role sits in a cloud team responsible for maintaining and rebuilding the platform over the next 9–12 months. To be considered for this Platform Engineer role, you should have: • Strong Terraform experience running at scale in production environments, • Proven experience managing Infrastructure as Code in Azure, • Experience with Azure DevOps or GitHub Actions pipelines, • Monitoring experience with Prometheus and Grafana, • Azure IaaS, automation (Ansible or PowerShell), and high availability experience This Platform Engineer role focuses on moving the platform to 90% Infrastructure as Code. You’ll also be supported with Azure and Terraform certifications. Day to day, as a Platform Engineer, you’ll spend 80% of your time on projects and 20% on BAU. You’ll build and manage Terraform deployments, develop pipelines, and improve monitoring. You’ll work closely with an IaC Architect to scale IaC and help rebuild the full platform. You’ll also support integrations and troubleshoot issues across the environment. • £65,000 – £75,000 + bonus, • Hybrid (1 day onsite, remote considered), • Full platform rebuild project, • Training and certifications supported, • Modern Azure environment If you’re a Platform Engineer looking for a hands-on role focused on IaC and platform rebuild, this is a strong opportunity for a Platform Engineer to step into a key position within a growing team. Get in touch now!

Senior Google Cloud Consultant £70,000–£95,000 + Bonus + Excellent Benefits London (Hybrid) | Technology Consultancy A rapidly growing technology consultancy is expanding its Cloud, Data & AI practice and is seeking a Senior Google Cloud Consultant with deep GCP expertise and strong consultancy experience. This is a client‑facing role for a true Google Cloud specialist who can shape strategy, lead engagements, and deliver hands‑on enterprise solutions. Role Overview You will work directly with senior stakeholders to design modern cloud, data, and AI solutions on Google Cloud. You’ll lead complex transformation programmes while remaining technically hands-on. What You’ll Do • Design and deliver secure, scalable Google Cloud architectures, • Lead enterprise cloud migration and transformation initiatives, • Build modern data and analytics platforms, • Develop AI/ML solutions using Vertex AI, • Implement IaC using Terraform, • Act as a trusted advisor to senior client stakeholders What You Bring • Proven consultancy experience in a client-facing environment, • Strong hands-on expertise with Google Cloud Platform, • Experience designing enterprise-scale cloud solutions, • Ability to lead technical delivery and client engagements, • Excellent architecture and stakeholder communication skills Key GCP Expertise Strong experience across core GCP services such as: • Compute Engine, • Cloud Run, • Pub/Sub, • Cloud Storage, • Vertex AI, • Google Kubernetes Engine (GKE), • BigQuery Preferred Certifications Google Cloud certifications (highly valued): • Professional Cloud Architect, • Professional Data Engineer, • Professional ML Engineer Package & Benefits • £70,000–£95,000 base salary, • Performance bonus, • Hybrid working (London), • Private medical insurance, • Pension, • Generous holiday allowance, • Funded training & certifications Please apply today !

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. • Up to £85,000 DoE plus bonuses, • Active eDV required, • London Location – full-time on-site when required, • Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: • Build data pipelines to ingest, process and transform data for analytics and reporting., • Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling., • Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes., • Design effective data solutions that meet complex business needs and support informed decision-making. Experience Required: • Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions., • Skilled in modern programming, particularly Python, Java, Scala and PySpark., • Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop., • Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to . For further information, please call 07719065951 or 0161 4166800. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Forward Deployed Engineer (Palantir Foundry) – London – Salary Up To £80,000+ per annum Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK’s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering. You’ll be joining a company that delivers transformative solutions across public and private sectors—specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you’ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact. Core Responsibilities • Programme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects., • Strategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy., • Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance—ensuring robust and future-proof solutions., • Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation., • Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts., • Innovation & Vision: Help define the consultancy’s technical roadmap, aligning emerging technology with client needs and long-term growth., • Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit., • Thought Leadership: Represent the organisation externally—whether through industry events, publications, or strategic client discussions. What We’re Looking For • Deep Experience: 10+ years in engineering, data platforms, or enterprise technology—at least 3–5 of which in leadership roles managing large-scale, client-facing programmes., • Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale., • Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP)., • Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives., • Exceptional Communicator: Able to engage at all levels—from senior engineers to board-level stakeholders—with clarity and confidence., • Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes., • Adaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts., • Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs. As a Forward Deployed Engineer, you won’t just deliver projects you’ll shape them from inception to execution, influencing how some of the UK’s most critical institutions harness AI and data to make better decisions and achieve lasting transformation. Please do not hesitate to reply and reach out to Morela today to find out more!

We are looking for a highly skilled Test Automation Engineer with strong expertise in Microsoft Dynamics 365 and modern automation frameworks using Playwright with .NET (C#). This role will focus on building scalable, maintainable, and enterprise-grade automation solutions, integrating seamlessly with Azure DevOps pipelines, and contributing to a robust quality engineering strategy. Key Responsibilities: • Design, develop, and maintain UI and API automation frameworks using Playwright (.NET / C#), • Implement test automation for Dynamics 365 modules (e.g., Sales, Customer Service), • Develop data-driven and reusable automation solutions aligned with enterprise standards, • Integrate automation suites with Azure DevOps CI/CD pipelines, • Collaborate with developers, BAs, and stakeholders during 3 Amigos / sprint ceremonies, • Perform test automation code reviews and enforce best practices, • Build and maintain test reports, dashboards, and observability metrics, • Ensure automation aligns with shift-left and continuous testing strategies, • Support regression, smoke, and E2E automation suites, • Identify automation gaps and propose improvements Core Technical Skills: • Strong experience in Playwright with .NET (C#) for UI automation, • Hands-on experience with Microsoft Dynamics 365 testing, • Experience in test automation frameworks (POM, BDD, data-driven), • Proficiency in API testing and validation, • Solid understanding of object-oriented programming (OOP) principles DevOps & CI/CD: • Strong experience with Azure DevOps, • Hands-on with:, • Pipelines (YAML-based CI/CD), • Test execution in pipelines, • Test reporting integration, • Experience with Git-based version control Dynamics 365 Expertise: • Good understanding of:, • Entities, forms, workflows, and business rules, • Customizations and configurations, • Test automation challenges in D365 UI Nice to Have: • Experience with BDD tools (SpecFlow / Cucumber for .NET), • Exposure to performance testing tools (e.g., k6, JMeter), • Experience with Azure cloud services, • Knowledge of service virtualization or test data management, • Familiarity with AI-driven testing or self-healing automation Soft Skills: • Strong analytical and problem-solving skills, • Excellent communication and stakeholder management, • Ability to work in Agile / DevOps environments, • Proactive mindset with focus on quality and continuous improvement Key Deliverables: • Scalable Playwright automation framework for Dynamics 365, • Integrated CI/CD automation pipelines in Azure DevOps, • High-quality test coverage and reporting dashboards, • Continuous improvements in automation maturity and reliability

Job Title: Senior GCP Data Engineer Location: London (2 days per week onsite) Salary: £90,000 - £110,000 Our client is VC-based early stage GCP Partner growing 40% YoY, and they are looking for a Senior Data Engineer to join their engineering team. This is a highly customer-facing, project-based role where you will work across complex transformation programmes, partnering closely with stakeholders and cross-functional teams to deliver end-to-end data solutions. You will take full lifecycle ownership of data engineering projects, from initial data discovery through to deployment, ensuring scalable, high-quality, and governed data platforms built on Google Cloud. Key skills: • Experience in GCP Data Engineering - expertise in BigQuery and Airflow, • Experience with Infrastructure as Code (Terraform), • Data quality frameworks and validation techniques, • CI/CD pipeline development and solution deployment, • Exposure to AI/ML tooling (Vertex AI, LangChain, LLMs) Responsibilities: • Deliver full lifecycle projects: discovery, modelling, ingestion & deployment, • Build ETL pipelines and scalable data architectures on GCP, • Implement data quality, governance, and validation processes, • Collaborate with stakeholders and cross-functional teams What you’ll bring: • Strong client-facing and stakeholder management experience, • Proven delivery across complex data engineering projects, • Deep understanding of modern cloud data platforms, • Passion for AI and emerging technologies Why Join? • AI-first attitude across the organisation, • Join a high-performing Data & AI elite team, • Work with cutting-edge GCP and AI technologies, • Exposure to innovative, large-scale transformation projects, • Opportunity to work closely with leading clients and solve complex data challenges If you're interested in a confidential chat please click apply.

DevSecOps Engineer We are currently working with a fast growing AI start-up, who are looking for a DevSecOps Engineer to join their ever-expanding platform / DevOps team from their Shoreditch, London Office where you will be expected to go to the office twice a week. They are looking for you to have excellent cloud knowledge, ideally AWS but can also consider GCP. It is also vital you have experience of working on a SOC 2 or ISO27001 programme. As well as this you will also be expected to have knowledge of Kubernetes. The successful DevSecOps Engineer will be joining a highly talented platform team where you will learn a wide range of skills. As the DevSecOps Engineer, you will be a self-starter who has excellent stakeholder management experience who can show outcome based work. You will also be responsible for end to end solutions working closely as part of a squad including Developers and Testers. Please note you will need to have start-up experience. Skills required for the DevOps Engineer: • Knowledge of AWS or GCP, • Working experience of Kubernetes This is a really exciting opportunity to rapidly grow your skill set and work closely with some of the most talented Developers and Analyst's within this space. If you are keen to hear more please apply ASAP or reach out to myself directly for more information. Location: 2 days per week in the London, Shoreditch Office Salary: £90,000 - £105,000 Apply now for immediate consideration regarding this excellent opportunity! Understanding Recruitment is acting as an employment agency for this vacancy

Detection & Automation Engineer My client is a leading global financial institution, renowned for its scale, complexity, and commitment to innovation in security. This is a unique opportunity to join a world-class cyber team at the heart of a highly regulated, global organisation. As a Detection & Automation Engineer, you will play a key role in evolving the organisation’s security operations capability toward a more modern, engineering-led model. This is a hands-on position focused on building scalable detection and response solutions, rather than traditional alert monitoring or manual SOC activities. You'll also act as a technical, leader. You will work across the full detection lifecycle, designing, building and deploying detection logic using an engineering-led, pipeline-based approach. The role is centred around “detection as code,” applying software engineering and DevSecOps principles to security operations to create repeatable, high-quality outcomes. You’ll collaborate closely with SOC, threat intelligence and engineering teams to ensure detections are effective, actionable and aligned to real-world threats. Alongside hands-on delivery, you will provide technical leadership within the team, helping shape best practices, guiding approaches to detection engineering and automation, and acting as a key subject matter expert within the function. This is leadership through expertise and ownership, rather than formal line management. This is an opportunity to join a highly mature environment that is actively investing in automation, scalability and the future of security operations, ideal for someone who enjoys building, improving and engineering security capability at scale. Key Requirements • Strong background in security engineering, detection engineering or DevSecOps, • Hands-on experience building detections within SIEM platforms, • Experience working with automation and orchestration tooling (SOAR or similar), • Strong coding / scripting ability (Python or similar) with experience building automation workflows, • Experience working in cloud environments (AWS, Azure or GCP) and understanding cloud-native security, • Familiarity with engineering-led approaches (e.g. version control, pipelines, automation practices), • Good understanding of security operations, threat detection and attacker behaviour, • Experience working in complex or regulated environments (financial services beneficial but not essential), • Ability to build scalable, repeatable solutions rather than one-off detections, • Ability to influence technical direction and contribute to best practices within a team Location: Surrey (3 days onsite)

Senior Software Engineer (Full-Stack) 📍 Location: City-based (Hybrid/On-site options available) Role Summary We are seeking a highly experienced Senior Software Engineer to drive innovation and technical excellence across the full software development lifecycle. This is a key leadership role where you will shape architecture, mentor engineers, and deliver scalable, high-quality software solutions. You’ll work across a modern tech stack, leveraging your expertise in full-stack development, cloud platforms, and distributed systems. Beyond hands-on development, you will play a critical role in guiding best practices, influencing technical decisions, and fostering a culture of continuous improvement. Key Responsibilities • Lead the design, development, and delivery of scalable full-stack applications, • Architect robust, maintainable solutions using modern design patterns and best practices, • Collaborate cross-functionally with product owners, designers, and engineers to deliver high-impact features, • Facilitate and contribute to Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives), • Mentor and coach engineers, promoting high standards of code quality and craftsmanship, • Drive technical decision-making, ensuring scalability, reliability, and performance, • Design and implement RESTful APIs and microservices architectures, • Oversee and improve CI/CD pipelines, automation, and deployment strategies, • Define and champion testing strategies, including unit and integration testing, • Troubleshoot complex technical issues and optimise system performance, • Maintain strong version control practices, including code reviews and branching strategies, • Contribute to technical documentation and knowledge sharing across the team, • Promote a culture of continuous learning, innovation, and engineering excellence Required Experience & Skills • Strong experience building full-stack web applications using TypeScript/React and C#/.NET (or similar technologies), • Deep understanding of software engineering principles, including modular architecture and design patterns, • Proven experience designing and developing RESTful APIs and microservices, • Experience architecting end-to-end systems across frontend, backend, and data layers, • Strong knowledge of distributed systems and complex integrations, • Hands-on experience with cloud platforms (Azure preferred, AWS or GCP acceptable), • Familiarity with Docker, Kubernetes, and modern deployment patterns, • Experience with CI/CD pipelines, automated testing, and Infrastructure as Code (e.g., Terraform), • Solid understanding of database design (relational and NoSQL), • Experience working in Agile environments and contributing to engineering best practices, • Exposure to AI-assisted development tools is a plus, • Degree in Computer Science, Software Engineering, or equivalent experience

We’re hiring a Privileged Access & Identity Security Engineer to join a highly technical, security-first organisation operating in a fast-paced, regulated environment. Identity, privileged access, and secrets are treated here as core security engineering problems, not just compliance controls. This role sits within the Identity & Access Management (IAM) function, with a strong emphasis on Privileged Access Management (PAM), automation, and secure access to critical systems and platforms. Responsibilities: Privileged Access Management (PAM) • Own and operate enterprise PAM platforms (e.g. CyberArk or equivalent), • Design, implement, and maintain privileged access controls across Windows, Unix/Linux, and application environments, • Automate onboarding of privileged and service accounts, including credential rotation and reconciliation, • Enforce least privilege and just-in-time access principles, • Monitor privileged sessions and support investigations into access-related incidents Secrets & Non-Human Access • Manage credentials for applications, services, and automation workflows, • Support secure runtime credential retrieval and rotation, • Work with engineering teams to reduce hard-coded secrets and improve secrets hygiene, • Partner with infrastructure, application, and security teams to implement robust access models, • Support RBAC and access policy alignment across on-prem and cloud platforms, • Support access reviews, audit requests, and evidence production, • Contribute to incident response related to privileged access or credential exposure, • Strong hands-on experience with Privileged Access Management (PAM), • Deep knowledge of CyberArk (Vault, PSM/PSMP, CPM, Privilege Cloud) or equivalent, • Experience automating privileged access onboarding and credential lifecycle, • Solid understanding of least privilege, JIT access, and privileged account risk, • Background working in regulated or high-security environments, • Exposure to secrets management concepts or platforms, • Cloud experience (AWS and/or Azure), • Scripting or automation (PowerShell, REST APIs, etc.)

Bonhill Partners are seeking an AI Engineer / Data Scientist to join a growing team within an Investment Bank focused on building business applications powered by Generative AI and text-based LLMs. This role is ideal for someone who enjoys turning cutting-edge AI capabilities into practical, reliable tools that solve real business problems. The Role You will design and develop AI-driven solutions that automate and enhance business processes, particularly those involving text-heavy and unstructured data. A core focus will be on building systems that leverage LLMs and Retrieval-Augmented Generation (RAG) to interpret, validate, and extract insights from documents. You’ll work closely with a small, highly collaborative team to deliver production-ready applications, combining LLM capabilities, backend systems, and cloud infrastructure. Key Responsibilities • Design and build LLM-powered applications using Python, • Develop and optimise RAG pipelines for document understanding and retrieval, • Integrate with LLM APIs (e.g. OpenAI) and other cloud-based AI services, • Build workflows for processing unstructured documents (e.g. PDFs) and extracting structured insights, • Implement prompt engineering and system design for reliable outputs Requirements • Strong Python development skills, • Hands-on experience with LLM APIs (e.g. OpenAI), • Proven experience building RAG pipelines and GenAI applications, • Experience working with unstructured data and document processing (PDFs, text parsing, etc.), • Understanding of prompt design, evaluation, and limitations of LLMs, • Experience developing and deploying solutions in cloud environments (ideally Azure), • Ability to design robust, production-grade AI systems Rate: £700 - £800/day (inside IR35) Duration: 6 months rolling contract We look forward to hearing from you!

Principal AI Engineer Up to £110,000 + Bonus Hybrid | London We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: • Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals., • Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks., • Mentor engineers in ML engineering, orchestration, and modern AI best practices., • Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences., • Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions. Key Requirements: • Proven experience designing and productionising RAG pipelines and agentic AI architectures, • Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production., • Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality;, • Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads., • Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems. Nice-to-Haves: • TypeScript a plus; SQL proficiency for data work., • Bridges technical and business teams with ease., • Confident working with stakeholders at all levels., • Shows initiative, works independently, and brings fresh ideas., • Strong communicator able to present, guide, and influence effectively. Benefits: • Up to £110,000 + Bonus, • Flexible working options at a Central London office, • Private Health, Great pension, • Work from anywhere for 2 months of the year This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real word impact on at a Global business, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

Forward Deployed Engineer (Palantir Foundry) – London – Salary Up To £80,000 per annum\n\nAre you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you.\n\nMorela are proud to be working with one of the UK’s most respected Palantir partners, now seeking a Forward Deployed Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering.\n\nYou’ll be joining a company that delivers transformative solutions across public and private sectors—specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you’ll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact.\n\nCore Responsibilities\n\nProgramme Leadership: Oversee multiple high-profile client engagements, ensuring successful delivery of complex, multi-stream Palantir Foundry projects.\nStrategic Client Partnership: Build and maintain C-suite relationships, providing trusted guidance on long-term data and technology strategy.\nTechnical Oversight: Set and enforce best practices across architecture, engineering, security, and performance—ensuring robust and future-proof solutions.\nLeadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation.\nBusiness Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts.\nInnovation & Vision: Help define the consultancy’s technical roadmap, aligning emerging technology with client needs and long-term growth.\nGovernance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit.\nThought Leadership: Represent the organisation externally—whether through industry events, publications, or strategic client discussions.\nWhat We’re Looking For\n\nDeep Experience: 10+ years in engineering, data platforms, or enterprise technology—at least 3–5 of which in leadership roles managing large-scale, client-facing programmes.\nPalantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale.\nTechnical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP).\nLeadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives.\nExceptional Communicator: Able to engage at all levels—from senior engineers to board-level stakeholders—with clarity and confidence.\nCommercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes.\nAdaptable & Resilient: Comfortable operating in fast-paced, high-stakes environments with multiple moving parts.\nTravel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs.\nAs a Forward Deployed Engineer, you won’t just deliver projects you’ll shape them from inception to execution, influencing how some of the UK’s most critical institutions harness AI and data to make better decisions and achieve lasting transformation.\n\nPlease do not hesitate to reply and reach out to Morela today to find out more

Quantitative Developer - LNG - London THE ROLE We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG .You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally. KEY RESPONSIBILITIES • Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs., • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization., • Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance., • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk., • Contribute to the development of the shared quantitative platform designed to support all trading desks., • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk., • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise. Qualifications and Requirements: • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field., • Strong programming skills and advanced proficiency in Python., • Strong understanding of probability theory and derivative option pricing., • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems., • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms., • Intellectual curiosity and willingness to learn new models and physical commodity markets., • Excellent problem-solving skills and a strong attention to detail., • Strong stakeholder communication skills., • Prior experience in commodities trading is beneficial but not required.

Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract We’re looking for a hands-on Telemetry & Observability Engineer to support a large-scale enterprise environment building modern observability capabilities across complex distributed systems. This role is focused on designing and developing telemetry pipelines, improving monitoring and reliability, and embedding observability into engineering and platform teams. Key skills: • Strong experience with OpenTelemetry (building telemetry pipelines), • Terraform for automation / infrastructure as code, • Observability tools such as Grafana, Prometheus, Loki, Elastic or Splunk, • Experience in distributed / cloud-native environments (Kubernetes, microservices), • Background in network or infrastructure monitoring, • Proactive mindset and interest in AI-driven monitoring / operations This is a hands-on engineering role, not just tool usage – we’re looking for someone who can build and evolve observability platforms. If this sounds like a fit, APPLY NOW! Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract

Our client has a need for an experienced Principal Commercial Engineer to join their team. You will be part of a dynamic team that is driving the future of media technology. You will report to the Head of Commercial Engineering and collaborate with a talented group of engineers. This role is perfect for someone who is passionate about writing amazing code and constantly improving software architecture. This requires 3 days per week on site in London. Who are you? • A natural leader who can steer a team in a positive direction., • Foster and build culture within your team using the values that we set out as an organisation, • You encourage and drive an open source way of development abiding by open source principles, • You drive evolutionary and challenging architectural solutions which maintain cohesiveness across the organisation as a whole, • You thrive on speaking at events and meetups about what we do, • You take responsibility for knowledge sharing across our co-located engineering teams, • You always have an eye on the industry trends, • Experience creating/contributing to an open source project, • Experience managing a team of software engineers, • Architected and built performant, scalable, resilient public facing products, • Experience in Javascript, • Experience with state management systems such as Redux, • Experience in Node JS and Express, • An understanding digital advertising or Google Ad Manager (DFP), • Experience building applications with high traffic volumes, • Experience in PHP/Wordpress

Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality. Key Responsibilities • Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards., • Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services., • Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation., • Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments., • Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components., • Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements., • Degree in Computer Science, Data Engineering, or a related field., • Proven experience designing and building cloud-based data platforms, ideally within Azure., • Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory., • Solid understanding of Data Lakehouse architecture and modern data platform design., • Proficiency in Python for data engineering, automation, and data processing., • Experience developing and integrating REST APIs for data services., • Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms., • Experience with Infrastructure as Code tools such as Terraform or ARM templates., • Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts., • Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps)., • Knowledge of cloud cost optimisation for data platforms., • Understanding of data governance and regulatory compliance (eg, GDPR)., • Experience working in regulated or professional services environments.

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

Java Software Engineer | London City, Hybrid We're working with a highly regarded software engineering firm that is delivering complex Java projects across global Tier-1 investment banking environments. This is a brilliant opportunity for Java Engineers from mid-level through to Principal / Architect level, who want to work on business-critical systems in a genuinely strong engineering environment. The work is varied and high impact, ranging from greenfield builds across trading and payments platforms, through to modernising legacy systems, improving existing platforms, and helping turn around struggling projects. What’s consistent throughout is the focus on good software engineering; clean code, TDD, CI/CD, fast feedback, automation, and well-designed, robust systems. It’s a chance to work alongside strong engineers, solve meaningful technical problems, and deliver modern engineering practices into complex environments where quality really matters. 📍London City, hybrid working - 3 days per week in the office ⏰Permanent Role 💷Competitive Salary + Benefits Requirements: • Strong Java development experience, • Good understanding of TDD, XP and Agile, • Experience building large-scale backend systems, • Exposure to cloud architecture and CI/CD pipelines, • Engineers with strong technical judgement and a real appreciation for software craftsmanship, • Interest in improving systems, not just maintaining them, • Experience with microservices, • Exposure to Docker, Kubernetes, Terraform or other cloud-native tooling, • Experience in investment banking, fintech, or wider financial services - desirable, not a must, • Background in high-throughput or low-latency systems - highly desirable, • Consultancy or client-facing experience, • Familiarity with AI-assisted engineering tools such as Copilot or Claude Code Please note: applicants must be UK-based, within a commutable distance to London, and have the right to work in the UK without sponsorship. If you are interested in this Java Software Engineering Role, please apply directly to this ad with your updated CV or email it to

Principal Java Engineer London – Hybrid (1 day per week onsite) Are you a senior/lead hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the worlds largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance are reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

Principal Google Cloud Consultant £110,000–£125,000 + Bonus + Excellent Benefits London (Hybrid) | Technology Consultancy An ambitious and fast-scaling technology consultancy is continuing to grow its Cloud, Data & AI capability and is looking to hire a Principal Google Cloud Consultant. This is a high-impact leadership role suited to a seasoned GCP specialist who thrives in a client-facing environment, can define strategic direction, and lead the successful delivery of complex cloud transformation programmes. The Role • Define and deliver enterprise Google Cloud strategies, • Lead cloud migration and transformation programmes, • Architect scalable, secure GCP solutions, • Drive data and AI initiatives (including Vertex AI), • Provide leadership across multiple client engagements, • Act as a trusted advisor to senior stakeholders, • Mentor consultants and support practice growth About You • Proven experience in a senior consultancy role, • Strong hands-on expertise across Google Cloud Platform, • Track record delivering enterprise-scale cloud solutions, • Experience leading teams and engaging senior stakeholders, • Excellent communication and commercial awareness Key GCP Experience • Compute Engine, Cloud Run, • Pub/Sub, Cloud Storage, • BigQuery, Vertex AI, • Google Kubernetes Engine (GKE) Certifications (Preferred) • Professional Cloud Architect, • Professional Data Engineer, • Professional ML Engineer Package • £110,000–£125,000 base salary, • Bonus + full benefits package, • Hybrid working (London), • Training & certifications

Senior Data Engineer | Rapid Growth AI Scale-Up, B2B | Hybrid, 4 Days, London | Up to £100,000+Benefits & Bonus About The Company: Think about the unpredictable nature of fast-paced, multi-site consumer businesses within the hositality sector. Demand can double or halve by the hour, making traditional resource planning impossible. My client is an AI tech scale-up that has solved this massive operational headache. They have built a completely unique platform that pairs smart, AI-driven software with an exclusive, on-demand network that can be dynamically deployed exactly when and where physical demand spikes. Over the last six years, they have quietly dominated their sector. Their model is fully proven, rolled out to thousands of locations nationwide, and trusted by some of the biggest enterprise brands in the UK. They have taken their foundation and built something even more powerful: the central "brain" behind enterprise-level predictive scheduling and resource allocation. By applying AI to multi-year proprietary and public data sources, their platform automatically forecasts hyper-local demand, generates precise capacity suggestions, and builds optimal deployment models automatically. What started as a smart way to solve immediate bottlenecks has evolved into an end-to-end predictive engine that is incredibly hard to replicate. Responsibilities for the role: You will be the engine behind the company’s data capabilities, sitting at the intersection of data engineering, machine learning, and cloud infrastructure. • Build & Scale: Design and evolve bulletproof ETL/ELT pipelines and maintain a highly reliable, AWS-native data platform (S3, Redshift, Athena, SageMaker, etc.)., • Deploy Cutting-Edge AI: Take advanced forecasting models, LLMs, and agentic workflows out of the sandbox and deploy them into production with ironclad CI/CD and monitoring., • Solve the Hard Problems: Act as the ultimate technical partner for complex production issues, writing highly optimized SQL for analytics, and building integrations that keep data flowing cleanly across the business., • Lead & Elevate: Translate broad business challenges into practical, scalable tech solutions, all while mentoring a collaborative team of junior engineers. Requirements for the role: We need someone who bridges the gap between complex data engineering and production-grade Machine Learning. • You’ve got the academic chops (CS, Math, Engineering) combined with deep, practical experience building and orchestrating data pipelines., • You write exceptional Python and advanced SQL, and you know how to build on modern cloud infrastructure (ideally AWS)., • You aren't just an analyst or a researcher; you have hands-on experience taking ML models into production, serving them, and monitoring them in the wild., • Above all, you are a pragmatic problem-solver. You thrive in fast-moving environments, take total ownership of your work, and love building scalable systems that make a real-world impact. If the role Senior Data Engineer | Rapid Growth AI Scale-Up, B2B | Hybrid, 4 Days, London | Up to £100,000+Benefits & Bonus sounds like something you would be interested in, drop over your CV and if we think you are a good match, we will give you a call!

I am looking for a hands on principal security engineer to join a high tech trading firm for crypto markets. This is a fully remote role. This company are looking for a senior engineer focused on multi cloud and on-prem environments, owning IAM, Key management and secure infrastructure design. You will be building CI/CD pipelines and imbedding security into cloud and infrastructure workflow using primarily AWS and Azure.

Lead Security Engineer – Proprietary Trading Firm – London (On-Site) – Up to £140,000 Base Salary + 20% Bonus A leading global trading and investment firm is seeking a Lead Security Engineer to play a pivotal role in building and shaping its security practice. This is a senior, hands-on role with genuine influence across network, cyber, and cloud security, combining deep technical expertise with strategic direction. This position is ideal for someone who wants to move beyond pure delivery and take ownership of security architecture, tooling decisions, and long-term IT security strategy within a high-performance, always-on environment. The Role: As Lead Security Engineer, you will act as the technical authority for security, helping to define how security is designed, implemented, and evolved across the organisation. You will work closely with Infrastructure, Cloud, and Engineering teams while advising senior stakeholders on security direction and investment. Key responsibilities include: • Lead the design, build, and evolution of the firm’s security practice, setting standards, patterns, and best practices, • Provide deep expertise across Network Security, Cyber Security, and Cloud Security, • Own and develop security architecture across:, • Network and perimeter security, • Cloud platforms (primarily Azure), • Identity and access management, • Advise on and select appropriate security tooling, ensuring the firm adopts scalable, best-in-class technologies aligned with its growth and risk profile, • Define and influence IT security strategy, balancing security, performance, and operational efficiency, • Act as a senior escalation point for complex security issues, incidents, and design decisions, • Partner with Infrastructure and DevOps teams to embed security into platforms, automation, and operational processes, • Drive improvements in monitoring, detection, vulnerability management, and threat response Skills & Experience • Proven experience in a Senior or Lead Security Engineering role, ideally within financial services, trading, or other high-availability environments, • Strong hands-on knowledge across:, • Network security (firewalls, segmentation, VPNs, secure connectivity), • Cloud security, particularly Microsoft Azure, • Cyber security controls, threat detection, and incident response, • Experience advising on or leading security tooling selection and roadmap decisions, • Ability to operate at both technical and strategic levels, influencing stakeholders and shaping security direction, • Comfortable working in fast-paced, mission-critical environments Package • Up to £140,000 base salary, • Up to 20% performance-related bonus, • Comprehensive benefits package Lead Security Engineer – Proprietary Trading Firm – London (On-Site) – Up to £140,000 Base Salary + 20% Bonus

Construction Solution Manager – Construction SaaS (Client-Facing) I’m working with a growing, international technology business operating within the construction and infrastructure space. They’re looking to grow their Customer Solutions team, supporting clients across a range of high-profile projects. The Role This is a client-facing role focused on helping construction teams successfully adopt and use a digital platform within their projects. You’ll work closely with clients to understand how they deliver projects, set up the system to match their processes, and support them through onboarding and beyond. Key Responsibilities • Support new clients through onboarding and getting set up on the platform, • Work with project teams to understand how they operate and reflect this in the system, • Help set up workflows, document processes, and project structures, • Act as a key point of contact for clients during implementation, • Run workshops and training sessions with project teams, • Work closely with internal teams to ensure smooth project delivery, • Provide ongoing support and guidance to ensure clients get value from the system What They’re Looking For Essential: • Background in construction project delivery (e.g. Site Engineer, Project Manager, Document Controller, or similar), • Strong understanding of construction workflows and project lifecycles, • Experience managing project information, drawings, and coordination, • Experience using construction software or Common Data Environments (CDEs), • Exposure to platforms like Procore, Aconex, Autodesk Construction Cloud, etc., • Understanding of BIM, ISO standards, or structured project information Why Consider This Role? • Great opportunity to move off-site into a more flexible, office based role, • Join a growing, global business in the construction tech space, • Stay close to projects without the day-to-day site pressures, • Clear progression and development opportunities