Azure engineer jobs in United Kingdom - Page 2

Strengthen and manage the organisations security posture using Microsoft Defender for Endpoint, Sentinel, Intune, and other Microsoft security solutions. Act as the technical SME for security infrastructure and collaborate with other Cloud, Compliance and Development teams. Senior Cyber Security & I

Lead Azure Cloud Engineer Location: Hybrid (London-based preferred) Start Date:06/10 Finish Date:30/01 SC Clearance: Yes Key Responsibilities Azure Cost Optimisation: Analyse current Azure spend using native tools (Cost Management + Billing, Advisor, etc.Identify cost inefficiencies and implement

Overview Hybrid with 50% in our Stansted office 50% remote. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidatewill be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand of business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem-solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly Support IT governance, ensuring security best practises and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs Must be able to commute to the stansted office as this role is hybrid 2 days a week in the office. What do I need to know? Azure Power Platforms Entra ID Intune ITIL v4 Experience in a similar role would be advantageous A deep understanding of O365, Autopilot, Defender & SSO would be highly beneficial Qualifications Relevant Apprenticeship or higher education Any of the following qualifications would be advantageous: Microsoft Certified: Power Platform App Maker Associate Microsoft Certified: Power Platform Developer Associate Microsoft Certified: Power Platform Solution Architect Expert Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days. TPBN1_UKTJ

Hybrid (London-based preferred).Analyse current Azure spend using native tools (Cost Management + Billing, Advisor, etc.Identify cost inefficiencies and implement strategies such as reserved instances, autoscaling, and workload reallocation.Develop forecasting models and savings plans in collaborati

Snowflake & Azure Data Engineer - £70,000 - Remote Are you a skilled Data Engineer with hands-on experience in Snowflake and Azure? We're working with a forward-thinking organisation looking to expand their data capabilities with a talented engineer who thrives in remote environments. You

To achieve this, they are looking to hire an experience Data Engineer with proven experience delivering Fabric in a prior engagement. Data Engineer | Fabric | Azure | Python | SQL | PySpark. Senior Data Engineer - Up to £90,000.

NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, Junior. This is an excellent opportunity for a Junior.

Microsoft Stack Security Consultant, Cloud Security Engineer, Azure, DevSecOps, Entra, Intune, Defender, Contract. Microsoft Stack Security Consultant / Senior Cyber Security Infrastructure Engineer is required to work on an urgent project starting ASAP as a contractor. You MUST be hands on and know

Senior DevOps Engineer – (DevOps, Azure, Cloud, PowerShell, CI/CD, Python, AWS, Docker, Containerisation, Cloud Migration, IaC, ISO270001, Infrastructure as a Code, Kubernetes, SRE, ) – Permanent – City of London/Hybrid. Strong experience with Docker, Terraform and at least one major Cloud Pla

AZURE NETWORK ENGINEER | Juniper, Palo Alto, Azure Cloud Networking, Scripting | £ plus 20% bonus. They have a Azure Cloud environment so experience with networking in this setup would be highly regarded and training will be provided as needed. You will need to have an interest in learning more abo

Azure Cloud Ops Engineer - Cloud Automation, Security & Migration - Remote.

DevOps Engineer – Contract Role (London, Hybrid) 🚀. Proven experience in DevOps roles within agile environments.

MLOps Engineer London £60,000-£70,000 About the Role: Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: • Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models., • Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines., • Optimize ML models and workflows for real-time inference within 3D environments and XR platforms., • Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models., • Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads., • Develop monitoring solutions to track model performance and system health in production., • Proven experience as an MLOps engineer or similar role with a focus on 3D applications, • Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.), • Expertise in 3D reconstruction and rendering, • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)

Senior Data Analyst - London - £60,000 + Benefits Hybrid (2-3 days/week in London office) We're working exclusively with a global leader in data and analytics, hiring a commercially minded Senior Data Analyst to help optimise how millions of survey responses are matched, priced, and delivered to some of the world's biggest brands. This is a high-impact, insight-driven role working across commercial, product, and data science teams to boost performance and revenue. You'll reverse-engineer models, spot patterns in client and user behaviour, and bring creativity and curiosity to complex, real-world data problems. What you'll be working on: * Pricing and revenue optimisation across large-scale survey operations * Modelling client and user behaviour to improve performance * Clustering, regression, and exploratory analysis to uncover insights * Collaborating cross-functionally to influence decision-making * Working with Python, SQL, and moving into Azure What they're looking for: * 3-5+ years in analytics (media, ecommerce, or high-volume environments a bonus) * Confident communicator with strong stakeholder skills * Curious, commercial thinker who thrives in fast-paced settings * Strong skills in SQL and Python 📍 London (2-3 days/week hybrid) 💰 £60,000 base + full benefits (no bonus) ❌ No sponsorship available Want to get involved? Drop your CV now - this is a fast-moving process.

Senior Machine Learning/Research Engineer London (Old Street / Moorgate) Up to £140,000 + bonus About the Role We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities • Collaborate with ML scientists to ingest and process large-scale, high-frequency market data., • Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment., • Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading., • Take ownership of end-to-end solutions, from research to execution. What We’re Looking For • 5+ years’ experience in high-level engineering roles., • Proven track record building ML research pipelines in complex technical environments., • Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure)., • Strong mathematical or statistical background., • Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance., • Independent, self-driven engineers who can own delivery without hand-holding. Interview Process • Intro call with hiring manager and recruiter., • Take-home technical test., • Technical interview discussing your solution., • Onsite with their Amsterdam team.

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical and Pharmaceutical businesses with their extensive network of professionals. This allows them to engage seamlessly all while reducing operational costs so resources can focus on changing lives. This is the chance to work on cutting-edge AI technology at an early stage with real influence on product and architecture to help medical organisations do more with their resources while changing lives and impact clients across the US and FTSE markets. As a Full Stack Software Engineer, you’ll work across backend systems, DevOps pipelines, data engineering, and AI projects, touching multiple products and directly influencing how value is delivered to users. You'll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: • Build product-facing AI solutions and collaborate on ML model development, training, and deployment., • Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows., • Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage., • Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure., • Lead data engineering efforts to support analytics and product enhancements. Who You Are: • You have a product mindset—solving real customer problems., • You thrive on ownership and can navigate ambiguity to take projects from ideation to launch., • You’re curious, hungry, and driven, thriving in a fast-paced, high-growth environment., • You know how to balance rapid delivery with robust architecture and quality. Must-Haves: • 1–2+ years of professional software engineering experience (backend, DevOps, or full stack)., • Proficiency in Python and experience building ML-oriented solutions., • Hands-on experience with DevOps, CI/CD pipelines, and version control., • Familiarity with cloud platforms, preferably Azure., • Comfortable with SQL and NoSQL databases., • Right to work in the UK. For more information please apply today.

Lead Azure Data Consultant/Engineer Azure / Microsoft Fabric / Synapse / Databricks Permanent Must be based in the UK and SC Cleared/SC Clearable (no sponsorship offered) In this role, you’ll be leading enterprise-scale data projects with a preferred Microsoft Partner that specialises in modern data platforms. You’ll be working with well-known customers, helping them transform the way they use and manage data to deliver real business impact. As a Lead Data Engineer, you will be designing and delivering cutting-edge solutions across Azure Data services, Microsoft Fabric, and Databricks. This is a hands-on role where you’ll lead from the front, working on enterprise projects that shape the future of data platforms. What you’ll be doing: • Leading the design and implementation of modern data platform solutions for enterprise customers., • Building and optimising data pipelines using Azure Data Factory, Microsoft Fabric, Synapse and Databricks., • Guiding best practices in data architecture, modelling, and integration across complex environments., • Working directly with customers to understand requirements and deliver high-value, scalable solutions., • Providing technical leadership and mentoring to engineers within project teams., • Staying at the forefront of Microsoft’s evolving data ecosystem, with hands-on experience in Fabric. Key skills: • Proven experience as a Data Engineer with strong expertise in Azure Data services., • Hands-on experience with Microsoft Fabric (essential) and knowledge of Databricks., • Strong understanding of data integration, pipelines, and platform modernisation., • Excellent communication and stakeholder management skills., • Ability to lead projects, make architecture decisions, and deliver enterprise-grade solutions. What’s on offer: • The opportunity to work with a recognised Microsoft Partner at the forefront of modern data platforms., • Exposure to high-profile, enterprise-level customer projects across multiple industries., • A collaborative culture that values innovation, knowledge sharing, and technical excellence., • Flexible working, professional development, and the chance to work with the latest Microsoft technologies.

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: ___ Base Location: London plus network of 20 offices nationally: The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality. As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded, leading to significant growth in our technology capability. There's never been a better time to join us. With our ambitious growth plans, your future here is something to get excited about. As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment. Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains. Due to the nature of the role significant time may be spent at client sites/KPMG offices. Responsibilities Lead by Example: Lead by example in a hands-on capacity, actively contributing to codebases and technical decisions while mentoring junior engineers. Scalable AI Engineering: Develop and deploy production-grade AI systems tailored to audit applications. Contribute to architectural decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. Cross-Disciplinary Collaboration: Work side-by-side with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Provide hands-on contributions to ensure AI capabilities are smoothly embedded within core audit platforms and services. Capability Building & Knowledge Sharing: Contribute to internal capability-building initiatives and empower team members and the broader Audit Technology function by sharing practical skills and innovative techniques for adopting and adapting AI effectively. What will you need to do it? Minimum Requirements • Experience: Significant professional experience in backend development as a Senior role., • Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading., • API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/Swagger. Strong understanding of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements • Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields., • Proven track record of designing, developing, and deploying AI systems in production environments., • Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)., • Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph., • Proven experience with modern engineering practices Git, version control, unit testing and containerisation., • Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: • Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: • Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field., • Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable, • Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are: • Glasgow, • Leeds, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: • Technology and Engineering at KPMG: ___, • ITs Her Future Women in Tech programme: ___, • ITs Her Future Women in Tech programme:, • Applying to KPMG: ___, • Tips for interview: ___, • KPMG values: ___, • KPMG Competencies: ___, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: • Design and implement deep learning models using frameworks such as PyTorch or TensorFlow., • Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies., • Optimize model performance and scalability for production environments., • Conduct experiments, evaluate model performance, and iterate based on results., • Maintain clear documentation and contribute to knowledge sharing across the team., • Proven experience in developing and deploying deep learning models in production., • Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras)., • Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.)., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow)., • MSc or PhD in Computer Science, Machine Learning, or related field., • Experience with large-scale datasets and distributed training., • Flexible working arrangements (hybrid or remote options available)., • Opportunity to work on cutting-edge AI projects., • Collaborative and innovative team environment.

Senior Data Engineer – AI & Neuroscience Location: London (Hybrid, Kings Cross) or San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare opportunity to join at an early stage, with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological data. Key Responsibilities • Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets, • Build a unified feature store to serve ML training and downstream biological analysis, • Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning, • Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data, • Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal, • Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking for data and platform engineers who are motivated by applying their skills at the intersection of AI and neuroscience. You will be comfortable operating in an early-stage, fast-moving environment, with a strong focus on engineering excellence and scientific impact. Ideal Experience • 4+ years of experience building data infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently, • Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam, • Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores), • Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal), • Hands-on cloud engineering experience (AWS, GCP, or Azure), • Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code, • Familiarity with ML infrastructure and prior experience supporting ML teams in production environments, • Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential, • Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join • Build infrastructure that directly supports breakthroughs in brain health and neurological disease, • Work with first-of-its-kind, multi-modal datasets and cutting-edge AI approaches, • Join a world-class interdisciplinary team at the ground floor, with significant scope for ownership and growth, • Competitive compensation package including equity

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Description: We are looking for a seasoned AWS Data Engineer to join our team and contribute to the development of scalable, secure, and high-performance data solutions. This role involves modernizing mainframe legacy systems, building robust data pipelines, and enabling advanced analytics using AWS-native technologies. You’ll collaborate with cross-functional teams and play a key role in shaping our data strategy. Skills Must have : • Proven experience in designing and maintaining scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization., • Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats., • Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library., • Experience implementing data retention and archival strategies in cloud environments., • Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing., • Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines., • Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs., • Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads., • Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best practices and deployment strategies., • Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources., • Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation., • Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction with AWS services., • Demonstrated experience working with GDPR-compliant architectures and handling sensitive data, ensuring data privacy, encryption, and access control in accordance with regulatory standards., • Familiarity with data anonymization and masking techniques for handling sensitive datasets., • Proficiency in containerization using Docker for packaging and deploying data applications in local and cloud environments., • Experience writing unit tests and integrating data pipelines into CI/CD workflows using AWS CodeBuild, CodePipeline, and GitHub, including signed commits and tagging strategies., • Ability to collaborate effectively with both technical and non-technical stakeholders, translating business requirements into technical solutions., • Strong documentation skills to clearly articulate data flows, architecture decisions, and technical findings., • Experience with pair programming, conducting code reviews, and mentoring team members., • Proven ability to reconcile data across systems and ensure data quality and integrity., • Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog., • Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes., • Hands-on experience with Apache Airflow for orchestrating complex data workflows and ensuring reliable execution., • Understanding of cloud security and governance practices including IAM, KMS, and data access policies., • Experience with monitoring and observability tools such as CloudWatch., • Experience working in Agile/Scrum environments, participating in sprint planning, retrospectives, and backlog grooming. Good to Have: • Exposure to Azure data services such as Azure Data Factory, Synapse, or Blob Storage., • Familiarity with AWS Lambda Powertools for structured logging, tracing, and metrics in serverless applications., • Experience with cost optimization strategies in AWS, including resource tagging, budgeting, and usage analysis.

Principal Data Engineering Consultant Principal Data Engineering Consultant required to join the high-performing, busy Data & Insights practice of a boutique consultancy. This is a superb opportunity to lead and apply your data engineering skills across a variety of client projects. Day-to-Day As a Principal Data Engineering Consultant, you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will lead exciting and complex projects that vary in size and complexity, and you will take ownership of deliveries; gathering requirements, understanding business problems, designing and building solutions, reporting and analysis through to go-live and training. This role will provide you with plenty of opportunities to flex your data skills to help harness solutions and solve problems, and you will get to see the fruits of your labour and the impact the deliveries have on the client. You will be responsible for: • Engaging with customer stakeholders and building strong relationships, • Building and implementing technical data solutions for customers using a variety of different data tools and platforms, • Consulting with clients on the best approach and most suitable data technologies, • Technical project leadership, requirements gathering, delivery and documentation, • Using your hands-on technical skills to write code and build solutions, • Managing and mentoring junior consultants on deliveries You will need You will be a Technical Data Consultant or Data Engineer who has a track record of leading the design and delivery of data solutions. You will bring a strong blend of technical and functional experience and will have previously operated within a client-facing environment. You will be able to evidence where you have led the delivery of data solutions, managing projects and mentoring or overseeing the work of more junior colleagues. You will need to possess a hands-on technical skillset spanning data engineering, data integration and data migration. You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: • MS Fabric stack, • Databricks, • Azure, • SQL, • Tableau / Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful, and you will be open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also desirable but not essential. Excellent communication skills and the ability to engage and manage client stakeholders is also required. What is on offer? A competitive salary of £70,000-£85,000 is on offer (depending on your level of experience) as well as an annual bonus of £5k-£7k (paid quarterly), private medical, pension (up to 5% matched) and other perks such as a mobile phone allowance. This is a hybrid role that offers lots of flexibility to work remotely, but visits to the office in Surrey are required roughly once a week (some weeks less, some weeks more, with possible visits to client sites if requested) This consultancy has big ambitions to grow, so if you are a Principal Data Engineering Consultant and want to work alongside some of the industry’s best on some exciting client projects, then this could be the challenge you are seeking!

.NET Developer - Financial Trading - C#, React - London (Tech stack: .NET Developer, .NET 9, C#, React, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client, a market-leading financial trading firm, renowned for its innovation, lightning-fast technology and elite engineering culture, is seeking talented .NET Developer to join their award winning team. With a strong presence in global markets, they build cutting-edge trading platforms that process vast volumes of data in real time. Their success is rooted in a deep understanding of finance, a commitment to clean, high-performance code and a relentless focus on staying ahead of the technological curve. This is a rare opportunity to join a company where tech is not a support function, it is the business. The ideal candidate .NET Developer will have commercial experience working with .NET, C# and React.. Prior exposure to trading systems or financial services is highly desirable due to the nature of the role. Our client will provide training in: .NET 9, JavaScript, Angular 19, Microservices, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. You will be part of a dynamic and highly skilled engineering team building high-performance, low-latency trading platforms and tools. This is a greenfield project and a chance to leave your mark on a business-critical system from day one. All .NET Developer positions come with the following benefits: • Company shares, • 15% pension contribution, • Bupa private healthcare, • 3 hours per week of personal development time, • £4.5k annual training allowance, • 27 days holiday + birthday off, • Flexible hours & remote working, • Pizza & beer Fridays, • On-site yoga classes Location: London / UK Remote Salary: £60,000 – £85,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

Our client is a leading Software Development organization The company provides DevOps solutions to thousands of customers, including the majority of the Fortune 100s, transforming how software flows from code to production. We’re looking for a Senior Solutions Engineer fluent in English, with deep DevOps expertise and a passion for customer success. Location: London, King's Cross Hybrid: 3 days in-office, 2 days remote What You’ll Do • Architect tailored DevOps solutions for enterprise clients, • Deliver technical demos, POVs, and training sessions in English & Spanish, • Guide customers from pre-sales to post-sales with seamless transitions, • Represent us at industry events and respond to RFPs/RFIs, • Stay sharp on DevSecOps trends and cloud-native architectures What You Bring • 7+ years in technical sales or presales (MEDDPICC is a plus), • Hands-on with Docker, Kubernetes, CI/CD, Git, Linux, and cloud platforms (AWS, Azure, GCP), • Strong communicator with a customer-first mindset, • Experience building scalable pipelines and microservice Ready to shape the future of software delivery? Apply now and let’s build something extraordinary.

📍 Hybrid – 3 days a week on-site in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer, you’ll work across a range of exciting client projects, designing and building scalable data pipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing • Building robust, scalable data pipelines across multiple client projects, • Presenting insights and technical solutions directly to clients, • Supporting and mentoring junior engineers within the team, • Collaborating with cross-functional teams to deliver end-to-end analytics solutions, • Leveraging modern cloud platforms and visualisation tools to drive client value 🛠️ Tech & Experience We’re Looking For • Strong SQL and Python skills, • Experience with cloud platforms such as GCP or Azure, • Hands-on with BigQuery, Synapse, or similar data warehouses, • Familiarity with data visualisation tools — D3.js or similar, • Proven client-facing experience, • Previous consultancy experience is highly desirable This is a fantastic opportunity to join a consultancy making real impact across data-driven projects. If you’re ready to take on a varied, client-focused role and help shape cutting-edge analytics solutions — we’d love to hear from you.

🚀 Founding Engineer / Technical Lead Location: Hybrid (London HQ + Remote role with occasional travel) MUST BE UK BASED Sector: HealthTech / Fitness / Wellbeing G.Digital are thrilled and excited to be working with this ambitious, early-stage tech company on a mission to reinvent how people experience personal training and wellbeing. They already have a proven desktop platform in-market, and are ready to take things to the next level — launching a consumer app, scaling the technology, and building a product that truly changes lives. We’re looking for a Founding Engineer to join these guys and be part of a unique opportunity to combine hands-on coding with strategic vision, shaping the technical direction and building the engineering team from day one. 🔧 What You’ll Do • Build and ship: Take ownership of the end-to-end engineering process, from coding and architecture to deployment and monitoring., • Scale the product: Deliver a mobile app to complement the desktop platform, ensuring both scale smoothly as we grow., • Grow the team: Recruit, mentor, and inspire a high-performing engineering team., • Define the roadmap: Work alongside the founders to shape product strategy and long-term technical vision., • Own the stack: Make technology decisions that balance speed, scalability, and security., • Champion innovation: Stay across emerging tools and approaches, ensuring we always stay ahead of the curve. 🎯 About You • Experienced full-stack engineer, confident in delivering complex mobile or web applications., • Strong background in modern frameworks, cloud platforms (AWS/Azure/GCP), and scalable architecture., • Comfortable as both an individual contributor and team builder, you love coding but also know how to grow a tech function., • Strategic thinker with an entrepreneurial mindset, excited to shape the direction of a high-growth business., • Previous start-up or founding experience a bonus, but not required, what matters is your ambition and drive. 💡 What they Offer • Founding team role with significant responsibility, autonomy, and influence., • Competitive salary with meaningful equity options after 12 months - they want you to be invested in the journey., • The chance to scale a proven platform into a category-defining product., • A purpose-driven mission where your work will directly improve people’s health and wellbeing., • Hybrid flexibility, with the energy and collaboration of in-person sessions in London. 👉 If you’re an ambitious engineer ready to step into a founding role, owning the code, scaling the team, and setting the vision - send your CV in!

Ready to Push the Boundaries of Technical Excellence? Are you ready to elevate your technical expertise to new heights? You’re already skilled at solving complex problems, but maybe you’re seeking a fresh challenge; an environment that pushes you to think deeper, troubleshoot faster, and develop technical skills. As our Senior Backup Engineer, you’ll provide expert-level technical support, troubleshooting, and strategic guidance to our Backup-as-a-Service customers. You’ll ensure the highest level of system reliability, security, and performance while acting as the primary escalation point for complex technical issues. If you want to work somewhere that values your expertise in both resolving critical incidents and designing preventative measure, where you can make a genuine impact on customers’ data security and business continuity, then keep reading. The Role: What You’ll Do Here: • Collaborate with engineering teams to develop long-term solutions that strengthen our backup infrastructure., • Proactively identify and mitigate risks before they impact customer operations., • Mentor and guide team members, helping them grow their technical capabilities., • Lead process improvement initiatives that enhance our service delivery., • Ensure seamless communication between technical teams and stakeholders., • Serve as senior escalation expert for complex backup issues, providing expert troubleshooting while mentoring junior engineers to foster team-wide technical excellence., • Own high-priority customer relationships as their trusted technical advisor, leading strategic engagements from risk assessments to capacity planning while liaising with senior stakeholders., • Develop advanced troubleshooting processes and drive long-term solutions in collaboration with engineering teams, contributing to knowledge bases and best practice documentation., • Lead complex infrastructure projects including migrations and upgrades, while ensuring compliance with industry standards and regulatory requirements., • Enhance operational efficiency through trend analysis, automation, and continuous service improvement, optimizing system performance and incident response times. Show Us You’re the One! We’re looking for someone who: • Thrives when faced with challenging backup and recovery scenarios., • Has a passion for complex technical puzzles which is matched only by their dedication to customer success., • Is equally comfortable diving deep into technical details and explaining complex concepts to non-technical audiences., • 3-5 years of hands-on technical experience including business/customer facing work., • Commvault Certified Engineer is highly desirable., • Experience with cross-platform integrations of Commvault with cloud services (Azure Backup, AWS S3, Google Cloud Storage)., • Experience in cybersecurity best practices related to data protection, ransomware mitigation, and compliance standards, • Exposure to ITIL best practices and service management frameworks., • Experience leading backup and disaster recovery projects, including migrations and large-scale implementations. Ready to Grow With Us? Apply now and join a team that will challenge you to be your best technical self! Send us your CV at along with a short note on why you’re ready to elevate both your earnings and your career.

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

🚨 Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: • Has deep ML theory knowledge — ideally a PhD/postdoc in AI/ML, • Knows when not to use a model based on cost vs. impact, • Advocates for AI productivity tools and uses them daily, • Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: • 8+ years in Data Science / ML Engineering, • 2+ years hands-on with Databricks, • Strong track record delivering production-grade ML models, • Solid grasp of MLOps best practices, • Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: • Python, SQL, Spark, R, • MLflow, vector databases, • GitHub / GitLab / Azure DevOps, • Jira, Confluence 🎓 Bonus points for: • MSc/PhD in ML or AI, • Databricks ML Engineer (Professional) certified

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python / Azure / Databricks / Snowflake The Role: • Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale., • Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation., • Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: • 7+ years of hands-on experience in data engineering roles., • Advanced skills in Python for data pipelines, transformation, and orchestration., • Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.), • Proficiency in Databricks (or strong equivalent experience with Apache Spark)., • Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at

Working with a leading IT Consultancy who are on the search for a Senior .NET Developer who has Live SC Clearance. • Paying up to £70,000 + Additional benefits, • Remote with occasional client visits, • Please note Candidates must be UK based, • Candidates must have Security Clearance to apply for this role As a C#/.NET Full Stack Engineer, you'll play a crucial role in bringing client visions to life, helping organizations unlock value through smart, scalable digital solutions. You’ll work across a variety of domains, leveraging a consultative approach to tackle complex business needs with precision and creativity. You’ll be working with technologies such as ASP.NET Core, C#, Entity Framework, SQL Server, RESTful APIs, and microservices all while gaining exposure to cloud platforms and modern development practices. Must-Have Skills: • Strong hands-on experience with ASP.NET Core and C# in a production environment, • Solid understanding of modern frontend frameworks like React, Angular, or Blazor/Razor, • Familiarity with cloud platforms such as Microsoft Azure or AWS, • Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or Azure DevOps, • Skilled in version control using Git and working with remote repositories (e.g., GitHub, GitLab), • Comfortable working in agile, fast-paced team environments Nice-to-Have Skills: • Understanding of Infrastructure as Code (e.g., Terraform), • Hands-on experience with containerization tools like Docker and Docker Compose, • Experience working with relational databases like SQL Server or PostgreSQL, • Familiarity with .NET Entity Framework (EF Core), • Knowledge of web accessibility standards and best development practices Bonus Skills: • Exposure to microservices built in additional languages (e.g., JavaScript, TypeScript, or Java), • Experience integrating with NoSQL solutions like MongoDB or Cosmos DB, • Interest in working with large language models (LLMs) using tools like LangChain, • Experience with templating systems or design frameworks such as Razor or the GOV.UK Design System

SOC Solution Engineer 📍 UK-based | Hybrid or Remote 💼 Permanent | Competitive Salary + Benefits Are you passionate about cybersecurity and thrive in complex, high-stakes environments? We’re looking for a SOC Solution Engineer to help design, implement, and evolve cutting-edge security operations solutions across enterprise-scale environments. What You’ll Be Doing: • Architecting and deploying SOC solutions tailored to client needs, with a focus on scalability, automation, and resilience., • Collaborating with security analysts, engineers, and stakeholders to ensure seamless integration of tools and workflows., • Leading technical discussions and providing guidance on best practices for threat detection, incident response, and log management., • Supporting pre-sales engagements with technical expertise and solution design input., • Staying ahead of emerging threats and technologies to continuously improve SOC capabilities, • Strong experience in designing and implementing SOC platforms (e.g., SIEM, SOAR, EDR)., • Deep understanding of security operations workflows, threat intelligence, and incident response., • Hands-on experience with tools like Splunk, Sentinel, QRadar, or similar., • Ability to engage with both technical and non-technical stakeholders., • Familiarity with cloud environments (Azure, AWS, GCP) and hybrid architectures. Bonus Points For: • Certifications such as CISSP, CISM, or SANS GIAC., • Experience in MSSP environments or large-scale enterprise SOCs., • Knowledge of automation and scripting (Python, PowerShell, etc.). Why This Role? • Work on high-impact projects with real-world security challenges., • Join a team that values innovation, autonomy, and continuous learning., • Flexible working arrangements and a culture that supports work-life balance.

Customer & Retailer Care Engineer Join a business at the forefront of technology and transformation, where your work will help shape the future of customer and retailer experiences. This is a chance to be part of a large-scale journey that directly impacts millions while supporting good causes across the UK. What You’ll Be Doing: • Provide second-line technical support across customer and retailer care platforms, ensuring reliability and quick resolution of issues., • Work with internal teams and external partners to enhance applications including AWS Connect, ServiceNow and OpenText., • Contribute to the development and testing of new features, supporting smooth deployment into production., • Monitor KPIs, analyse trends, and take proactive steps to improve system performance., • Ensure compliance with data protection, privacy regulations, and security standards., • Collaborate with product owners to influence roadmaps and future developments., • Support service delivery by managing incidents and problems to minimise business impact. Main Skills Needed: • Experience in AWS and Azure environments., • Strong knowledge of telephony and call centre technologies, ideally Amazon Connect., • Hands-on experience with ServiceNow CSM and OpenText., • DBA-level SQL skills across SQLServer, Postgres and MySQL., • Familiarity with GDPR and data protection in relation to personal data., • ITIL v3 background in incident and problem management., • Technical grounding in software development and web technologies., • Excellent problem-solving, communication and stakeholder management skills. What’s in It for You: • Work on a high-profile transformation project with a meaningful social impact., • Be part of a business that values inclusivity, collaboration and innovation., • Opportunities for ongoing learning, growth, and exposure to cutting-edge technologies., • A supportive culture that recognises integrity, initiative and teamwork. Think it could be a fit? We’d love to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

We are hiring a Lead Data Engineer: Exciting role in the Financial Services Space Location: UK-based | Flexible/Hybrid Working Options Contract Type: Permanent / Full-Time Overview I'm currently recruiting on behalf of a prestigious UK financial services organisation that is expanding its Retail Data Operations team. Following a strategic internal merger, they are hiring three Lead Data Engineers to support the build-out of new data capabilities focused on retirement solutions. This is a fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps, • Ensure solutions are GDPR-compliant and aligned with business and technical requirements, • Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks, • Collaborate with architects, product owners, and stakeholders to deliver high-impact data solutions, • Drive continuous improvement in engineering standards and release management processes, • Mentor and support junior and mid-level engineers, fostering a culture of learning and excellence Ideal Candidate Profile • Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing, • Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps, • Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball), • Strong understanding of Agile methodologies (Scrum/Kanban) and DevOps/DataOps principles, • Excellent communication and stakeholder engagement skills, • A proactive mindset with a focus on quality, compliance, and innovation Interested? If you're a seasoned data engineer looking to take the next step in your career, I'd love to hear from you. Apply now or reach out directly to discuss the opportunity in more detail.

DevOps Engineer - Contract Opportunity We're partnering with a forward-thinking digital business looking for a DevOps Engineer to support the evolution of their cloud infrastructure and CI/CD capabilities. This is a 4-month contract with a clear scope: help drive platform automation, improve scalability, and ensure reliability across cloud environments using best-in-class tooling. You'll be embedded within a cross-functional engineering team, contributing to the design, implementation, and optimisation of modern DevOps practices. The successful candidate will bring hands-on expertise across Terraform, Kubernetes, and Docker, with experience working in Azure environments. Exposure to Azure DevOps is also essential, as it forms part of their toolchain. Key Responsibilities * Build and maintain scalable, secure, and automated infrastructure using Infrastructure-as-Code * Lead the optimisation and maintenance of CI/CD pipelines using Azure DevOps and other tooling * Collaborate with engineering teams to deploy containerised applications using Kubernetes and Docker * Support migration and integration across Azure and internal platforms * Monitor infrastructure performance and reliability, implementing automation and alerting as needed * Drive cost optimisation and efficiency across cloud environments * Enforce best practices around cloud governance, platform resilience, and DevOps standards Skills & Experience Required * Strong experience as a DevOps Engineer or Platform Engineer in complex environments * Hands-on with Terraform, Kubernetes, and Docker * Proven experience with CI/CD pipelines, particularly using Azure DevOps * Strong cloud infrastructure knowledge across Azure * Skilled in automating deployment workflows and enabling infrastructure-as-code * Comfortable troubleshooting infrastructure issues across large-scale systems * Experience supporting development teams and improving engineering velocity Contract Details * Length: 4 months (initial) * Day Rate: £480 a day * IR35: Inside IR35 * Location: Remote with potential for occasional in-person collaboration

Keywords: Solutions Engineer, AI Engineer, AI Consultant, Generative AI, Python, Azure, LangChain, LLMs, Hybrid London. Solutions Engineer / AI Engineer / LLM Engineer. Solutions Engineer - Generative AI | Hybrid (London) | Up to £85,000.

My client, a respected global wholesale brokerage is seeking a skilled Systems Engineer to join its UK-based IT team. Proven experience in a Systems Engineer/Admin role Strong Microsoft stack expertise (Azure, Windows Server, IIS, SQL Server) Solid scripting and automation skills Good understanding

Backend Engineer (Azure Application) - (C# & Python) - Remote (UK or Europe). My client is looking for an experienced Azure Application Developer with strong expertise in C# and Python to join our engineering team.

The Microsoft Engineer will play a crucial role in delivering technical solutions across a primarily Microsoft Stack, and you will also bring Azure Cloud expertise. Microsoft Engineer to work within one of the most progressive private equity houses / investment managers in the Financial Services sec

Job Title: Junior DevOps Engineer. Skills: Azure DevOps, Powershell, SQL, CI/CD. They are seeking a DevOps Engineer with strong Application Support experience.

Central London (Hybrid - 3 days in office).Are you a skilled Data Engineer looking to make a real impact in a world-renowned cultural institution? We're working with a prestigious organisation undergoing a major digital and data transformation - and they're looking for a hands-on Data Engineer to h

Senior Cloud Operations Engineer. Are you an experienced Cloud Operations Engineer who is passionate about network transformation and security? We are hiring for a dynamic team in London for a high-impact role within a leading Investment Bank. Deliver strong Azure operational expertise with excellen

With at least three years' Azure Security experience, you will be responsible for implementing and maintaining robust security solutions across the Azure cloud infrastructure, and will have a key role in ensuring compliance, hardening environments, and leveraging Microsoft security tools to protect

Contract Role: Data Engineer - Azure Migration Project Location: Hybrid (2 days/week onsite in London) Contract Length: 6 months Day Rate: £450/day (Outside IR35) Start Date: ASAP Sector: Consultancy Overview We are recruiting on behalf of a consultancy client for an experienced Data Enginee

Data Engineer - Azure / Microsoft Fabric.City of London - Hybrid Working.Circa £60k-70k + Bonus & Benefits.Our client, a forward-thinking and globally connected staffing & consulting organization is seeking a skilled and driven.Based in the City of London, this role presents a fantastic opp

Google AI SDK & Azure Open AI SDK: Expertise with these SDKs to deploy and manage AI capabilities within GCP and Azure ecosystems. Our client, within the financial services sector, is seeking an accomplished AI Engineer for an exciting contract role based in London. LangChain: Practical experience u

Role: Azure AI DevOps Engineer.Benefits: Healthcare and great holidays.As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector.Using Azur

Our client, within the financial services sector, is seeking an accomplished AI Engineer for an exciting contract role based in London. Google AI SDK & Azure Open AI SDK:. Benefits & Contract Details:.