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A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you’ll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You’ll use your advanced SQL skills to build and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you’ll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: • Design, build, and maintain automated ETL pipelines and high-performance database structures., • Manage and enhance a Snowflake ecosystem for streaming and batch workflows., • Support the adoption of Generative AI (GenAI) and lead platform innovation with Snowflake and Microsoft technologies. Skills & Experience: • Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures., • Strong knowledge of automated ETL processes., • Experience with Snowflake, Azure Data Factory, and Azure DevOps., • Proficiency in Python for data engineering tasks., • Agile delivery experience., • Willingness to work with other modern data engineering toolsets. If you’re an experienced Senior Data Engineer with the required skills, please apply today.

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

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

🧱 Databricks Data Engineer | London | £50,000 - £70,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks. We are looking for: • Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure, • Strong experience designing and delivering data solutions in Databricks, • Proficient with SQL and Python, • Experience using Big Data technologies such as Apache Spark or PySpark, • Great communication skills, effectively participating with Senior Stakeholders Nice to haves: • Azure Data Engineering certifications, • Databricks certifications What's in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £50,000-£70,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally

Data Engineer London (Hybrid) Up to £60k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking to hire a very talented Mid Level Data Engineer to take a leading role in building and scaling the data foundations of the platform. You’ll combine strong SQL and Python skills with a DevOps mindset, architecting pipelines, automating workflows, and ensuring AI outputs are production-ready. Requirements • 1.5+ years’ experience in Data Engineering or Data Platform development, • Experience working with First-Party Data, • Strong SQL and Python fluency (data transformations, orchestration, automation), • Familiarity with cloud ecosystems - Azure, AWS, or GCP, • Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar), • Excellent communication skills and a structured, detail-oriented approach, • BSc in a related STEM degree from a top university ** Please note that visa sponsorship is not available

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

🚀 Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London. You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity, and experimentation. 🏢 Hybrid Flexibility – Balance remote work with in-person collaboration days at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines, or cloud platforms (AWS, GCP, or Azure) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in AI and work on projects that push the boundaries of innovation — we’d love to hear from you. 👉 Apply now and be part of shaping the future of intelligent technology!

Senior Data Engineer | Microsoft Fabric🧵 | £60,000-£80,000 We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting-edge Microsoft technologies. As part of their continued growth, they’re now seeking a Senior Data Engineer to take a pivotal role in delivering enterprise-grade data solutions, with a strong focus on Microsoft Fabric and the wider Azure ecosystem. What you’ll do: • Lead the design and implementation of data platforms powered by Microsoft Fabric, • Guide delivery teams through complex builds across cloud-native architectures, • Bridge the gap between hands-on engineering and technical strategy, • Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions What you bring: • Deep experience with Microsoft Azure, particularly around data services, • Proven track record delivering with tools such as Fabric, Synapse, or Databricks, • Proficiency in SQL, Python, and modern data engineering patterns, • Leadership experience within engineering or delivery teams, • A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic team sessions in London Why consider this? 💰Salary: £60,000-£80,000 🚀Be part of one of the first waves delivering at scale on Microsoft Fabric 🤝Work in a culture that values learning, innovation, and trust 📈Access to advanced training, cloud certifications, and fast-paced career progression

About this role Fleetcraft’s mission is to enhance humanity’s access to the sky. We’re building AI systems to make it dramatically faster and more affordable to maintain and certify aircraft - accelerating safety, reliability, and innovation across aerospace. We raised an oversubscribed $3.2M seed round from top-tier investors (Susa Ventures, Liquid 2, EF, & Transpose Platform) and aviation experts, including some of the world's largest aerospace companies. We're growing fast and looking for an exceptional full-stack founding engineer to join our team. Why Join Us? We’re building at the intersection of aerospace and AI — modernizing one of the world’s most complex and critical industries. • Solve real-world problems: Your code won’t just ship; it will define how aircraft are inspected, maintained, and trusted worldwide., • Join from the start: We’re growing fast and already working with some of the largest aviation companies in the world. You’ll be here from day one, helping shape the future., • High trust, high ownership: Make decisions that move the whole company forward. We value autonomy, speed, and impact., • Cutting-edge stack: Build with modern tools — Python, FastAPI, TypeScript, LLMs, MLOps — on high-stakes, real-world problems What We’re Looking For • 2+ years of software development experience, • Proven track record of building and shipping full-stack products in fast-paced, product-driven teams, • Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows, • Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems, • Strong backend and API development skills — comfortable owning systems end-to-end, from data pipelines to user-facing interfaces, • Passion for building clean, usable products that solve real problems, fast, • Comfortable wearing multiple hats, challenging assumptions, and shaping product direction in ambiguous environments Bonus Points • Prior startup or 0→1 product experience, • Contributions to open-source AI/ML projects, • Experience with aviation, aerospace, or other safety-critical domains You Should Apply If... • You love building real products that users depend on — not just prototypes, • You’re excited about AI/LLMs but care more about how they’re applied than how they’re hyped, • You’re energized by fast feedback loops and high-leverage work, • You want to work close to users and shape what gets built, • You thrive in ambiguous, high-trust, high-ownership environments, • You’re looking to join a tight-knit early team, and help shape the company, not just the code You Should Not Apply If... • You prefer clearly defined tasks over autonomous problem-solving, • You need layers of process or structure to be effective, • You’re uncomfortable working in a fast-moving, high-ambiguity startup environment, • You’re focused primarily on research or academic work over production impact, • You avoid owning outcomes end-to-end — from design and implementation to iteration and support, • You’re looking for a large team with established roadmaps and guardrails Tech Stack • Core: Python, FastAPI, TypeScript, React, • AI/ML: OpenAI, Anthropic, computer use, evals, voice agents, • Infrastructure: Azure, Docker Process: 1. Talent Screen (30 min video call), 2. Hiring Manager Interview (30 min video call), 3. Take-Home Test (1h45 on HackerRank), 4. Technical Review (30 min video interview with CTO), 5. In-Person Interview Working at Fleetcraft Our office is in central London, just off Liverpool street. Being in the same room helps us move fast, make better decisions, and build with urgency. We’re comfortable with chaos and energised by the pace. We also get that life isn’t always predictable. When something personal comes up, we trust each other to handle it with flexibility and maturity. Compensation + Benefits 💰 Highly Competitive: £100k-£180k 🌍 Visa sponsorship available - We welcome top talent globally and will support the visa process. Please let us know when you apply. *We’ll Back You to Do Your Best Work Need to relocate? Working late? Want a tool that helps you move faster? We’ve got you. Just tell us what you need we’ll make it happen. Fleetcraft is an equal opportunities employer.

As an MLOps Engineer, youll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial).

Devonshire Hayes have partnered with a fantastic organisation to help them secure a Senior Azure AI Engineer - Security Cleared for an initial contract up until the end March 2026 (extensions likely). Understanding of data science concepts, AI / ML models, automation workflows, and agentic orchestra

Data Engineer - Azure, Databricks, Microsoft Fabric | Hybrid | £60,000 - £70,000. Build and maintain scalable data pipelines in Azure Databricks and Microsoft Fabric using PySpark and Python. Work closely with analysts, governance, and engineering teams to translate business requirements into data

OUTSIDE IR35 + REMOTE – UP TOO £500 P/D Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highlymotivated AI/ML DevOps Engineer to join their team on a contract basis. We are seeking an experienced ML Ops / DevOps Engineer to manage the deployment, monitoring, and lifecycle of AI/ML solutions. This role ensures the reliability, security, and auditability of machine learning models in production environments, supporting scalable and compliant AI operations. Key Responsibilities: • Design, build, and maintain robust deployment pipelines for machine learning models., • Monitor model performance and data drift; manage retraining and redeployment processes., • Ensure version control, reproducibility, and auditability of all AI/ML assets., • Implement effective logging, monitoring, and alerting for AI services and infrastructure., • Guarantee adherence to security, governance, and infrastructure standards, especially in regulated environments., • Collaborate closely with data scientists and software engineers to productionize prototypes into scalable, maintainable solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms., • Deep understanding of cloud infrastructure services (AWS, Azure, GCP)., • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes)., • Knowledge of the machine learning model lifecycle, including drift detection and automated retraining., • Familiarity with information security best practices and compliance standards, particularly in government or highly regulated contexts.

Senior Data Engineer London £65-85k + 15% bonus A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build. What You’ll Do • Build and own data pipelines that connect product, analytics, and operations, • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery, • Work with engineers and product teams to make data easily accessible and actionable, • Help evolve their data warehouse and ensure high data quality and reliability, • Experiment with automation, streaming data, and ML-ready datasets, • Influence technical decisions across the stack — they love new ideas What You Bring • Hands-on experience in Python and SQL, • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.), • Knowledge of cloud platforms like AWS, GCP, or Azure, • An understanding of data modelling and ETL best practices, • Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It • Work on meaningful data challenges that directly impact their products, • Small, high-impact team with room to experiment and grow, • Hybrid setup with a central London HQ, • Competitive pay, generous (and achievable bonus), and genuine flexibility, • A team that actually cares about building great tech If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact. Key Responsibilities • Develop, train, and optimize machine learning models for production use., • Collaborate with data scientists to turn research prototypes into production-grade solutions., • Build robust data pipelines and feature engineering workflows., • Deploy ML solutions into cloud environments (AWS, GCP, or Azure)., • Implement monitoring, testing, and model performance evaluation frameworks., • Work with engineering teams to ensure seamless integration of ML models into products. Essential: • Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn)., • Proven experience in developing and deploying machine learning models in production., • Solid understanding of data structures, algorithms, and software engineering principles., • Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow)., • Proficiency in working with cloud services (AWS, GCP, or Azure)., • Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes)., • Experience with NLP, computer vision, or time-series forecasting., • Familiarity with distributed computing frameworks (Spark, Ray)., • Experience with MLOps and model governance practices., • Duration: 6–12 months (extension possible), • Location: London (Hybrid working model), • Day Rate: Competitive, depending on experience

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients. Key Responsibilities • Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions, • Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers, • Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding, • Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases, • Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions, • Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base, • Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro), • Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts, • Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI), • Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience • At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions, • Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management, • Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt, • Competence in at least one programming language (Python preferred) for automation., • Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services, • Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster, • Understanding of CI/CD principles, version control (Git) and software development lifecycle., • Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers, • Experience in delivery leadership and mentoring junior engineers, • Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained What Kubrick offers: A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer: • Salary: from £60,000, negotiable dependent on experience + bonus., • Hybrid: 2-3 days a week in the office, • Friendly and collaborative working environment, • Access to upskilling opportunities and clear progression path, • 25 days of annual leave, • Highstreet discounts and Wellness Hub with confidential well-being and mental health support, • Cycle to work scheme & eye-care vouchers Our commitment to Diversity, Equity and Inclusion (DEI): At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent. We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process. We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.

Lead Machine Learning Engineer Contract hands-on AI Engineer at Principal/Staff level to bootstrap an AI team to deliver an AI capability. • Reporting to VP Engineering, • Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system., • Expert in MCP and RAG patterns, • Design and build robust data and ingestion pipelines, integrate vector databases, and RSG., • Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow), • Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS), • Strong background in deploying models via APIs, containers, or cloud-native services, • Proven track record delivering production-grade AI solutions in complex, data-rich environments, • Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation., • Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration., • Excellent communication skills, able to translate technical strategy into business outcomes and work across team., • Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles.

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. • 5+ years of experience in .NET development, including .NET Core and C#., • Strong experience in designing and developing Microservice architectures in cloud environments., • Proven experience with AWS services including EC2, Lambda, S3, RDS, DynamoDB, SNS, SQS, EventBridge, AWS Amplify, and API Gateway., • Familiarity with asynchronous messaging and event-based communication patterns (e.g., event queues, publish/subscribe)., • Experience with CI/CD pipelines, version control systems like Git, and automation tools such as Jenkins, GitHub Actions, or Azure DevOps Pipelines., • Expertise in designing, implementing, and maintaining RESTful APIs and microservice interfaces., • Strong understanding of cloud security best practices, including access control, encryption, and data protection., • Experience with database technologies such as SQL Server, AWS Aurora, MongoDB, and DynamoDB., • Familiarity with Agile development methodologies (e.g., Scrum, Kanban)., • Excellent communication skills and the ability to collaborate with cross-functional teams., • Desirable Skills:, • Experience with AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps Engineer)., • Experience with Monitoring and Logging solutions like CloudWatch, New Relic, or Datadog.

Location: London Clearance: Active SC or DV required Rate: Competitive / Negotiable (Outside IR35) Duration: 6 Months (scope to extend) I'm looking for a Senior Frontend Engineer to join a fast-growing UK Defence tech innovator building a generative AI chat platform. You'll be owning the user-facing experiences end-to-end, architecting and delivering performant, scalable, and accessible applications that make advanced AI capabilities intuitive and engaging for end users. This is a hands-on role where you'll partner with backend and AI teams, have a direct impact on product direction, and set the standard for modern frontend practices. Essential Experience: ☑️ 5+ years of frontend development with React & TypeScript in production ☑️ Proven track record architecting complex SPAs with modern routing (React Router v7) ☑️ Strong knowledge of state management (Zustand, TanStack Query) ☑️ Skilled in Vite, pnpm, and Git workflows ☑️ Experience integrating with APIs (OpenAPI / Orval) and real-time features (WebSockets, streaming data) ☑️ Deep understanding of browser APIs, performance optimisation, and responsive design ☑️ Strong experience with authentication flows (Azure MSAL/OAuth2) ☑️ Excellent communicator, able to mentor and influence frontend standards Nice to Have: ✨ Experience with AI SDK React and streaming endpoint integrations ✨ Familiarity with Tailwind CSS v4 and Shadcn/ui component systems ✨ Knowledge of CI/CD pipelines (GitHub Actions) and containerisation (Docker) ✨ AWS deployment experience (CloudFront/S3, caching/CDN strategies) ✨ Exposure to accessibility standards (WCAG 2.1 AA) and testing frameworks (unit/integration/E2E) ✨ Interest in security best practices (CSP headers, XSS prevention, secure API comms) If this is something of interest, feel free to apply or email me at

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement, combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities • Design, build, and deploy machine learning models and AI-driven solutions to address business challenges., • Collaborate with data scientists to transition prototypes into production-ready systems., • Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment., • Optimise model performance, scalability, and reliability using MLOps best practices., • Work with large-scale structured and unstructured datasets for model training and validation., • Implement model monitoring, versioning, and retraining processes to ensure continuous improvement., • Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments., • Proven experience (3–5+ years) as a Machine Learning Engineer, Data Scientist, or similar role., • Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy)., • Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures., • Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms., • Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration., • Knowledge of containerization and orchestration tools (Docker, Kubernetes)., • Experience integrating ML models into production environments via APIs or microservices., • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field., • Familiarity with CI/CD pipelines for ML model deployment., • Exposure to natural language processing (NLP), computer vision, or reinforcement learning projects., • Location: Hybrid – London (onsite 2–3 days per week), • Type: Day-rate contract (Outside/Inside IR35 subject to assessment), • Duration: 6–12 months (extension likely), • Work with a talented, cross-functional AI and data engineering team., • Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment., • Hybrid flexibility with a strong London presence.

Senior Data Consultant 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 Senior Data Consultant, 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.

Data Engineer – UK (Remote or Hybrid) HD-Tech are happy to be partnering with a leading global data consultancy to recruit a talented Data Engineer for their UK team. Do you enjoy solving complex data puzzles, transforming messy information into clarity, and building systems that just work? Are you someone who loves discussing data pipelines, cloud platforms, and automation—but also values collaboration, curiosity, and doing great work alongside great people? If so, this could be the perfect opportunity for you. This consultancy helps organisations turn data into something powerful, useful, and impactful. As a Data Engineer, you’ll play a central role in designing and building scalable, modern data systems that empower better decision-making. You’ll collaborate with analysts and consultants to unify disparate data sources, create reliable pipelines, and lay the foundations for analytics, AI, and machine learning. If you’re looking for a role that combines technical challenge, autonomy, and a positive team culture—this is it. Key Responsibilities • Design and develop modern, scalable data pipelines to support analytics and business intelligence initiatives., • Build and automate cloud-native data infrastructure that enables advanced analytics, AI, and ML., • Integrate and transform data from a variety of sources including SQL databases, APIs, and cloud storage., • Develop and maintain ETL/ELT processes and frameworks to ensure performance and code quality., • Apply strong data modelling principles to deliver clean, well-structured data for reporting and analysis., • Collaborate with internal teams and clients to understand requirements and deliver practical, elegant solutions., • Document processes, contribute to design discussions, and share knowledge with peers., • Strong SQL skills and solid experience with ETL/ELT development (tool-based or code-based)., • Good understanding of data modelling, data quality, and governance best practices., • Familiarity with DevOps concepts and CI/CD pipelines., • Excellent communication skills—able to explain complex ideas clearly to non-technical audiences., • 5+ years of professional experience in data engineering or technical consulting., • Comfortable working in a dynamic, fast-evolving environment., • Experience with major cloud platforms such as Azure, AWS, or GCP., • Exposure to tools such as Matillion, Fivetran, dbt, or Snowflake., • Familiarity with modern data warehouse environments (e.g. BigQuery, Redshift, Databricks)., • Knowledge of Python or other scripting languages for automation., • Interest in AI and its growing role within data engineering. UK-based (Remote or Hybrid). Flexible working arrangements are available depending on your situation.

Who we are We've built Milo, the Agentic GenBI Analyst turning Insights into Action. Milo is built upon a data layer that helps organizations to (1) visualize data, (2) understand the WHY behind the data (e.g. WHY the Q4 pipeline is trending down) and (3) trigger actions directly from the data. Our customers are able to cut down the time from data request to operational action implemented from days to minutes. We are a team of 6 and just raised a seed round to boost our engineering and GTM motions. Who we are looking for We are looking for a Senior Backend Engineer to the join our Team and build out Milo’s Data Layer. The data layer serves as a central hub for customers to connect their data sources, ingest data into the platform, and label that data. Overall, it ensures the customer’s data is AI-ready. This includes: • Data ingestion from:, • Databases, • SaaS tools (e.g Salesforce), • Spreadsheets, • Non structured data (e.g Pdfs), • Data cataloging and modeling, • Data access for the AI agent Current Tech Stack: Our main backend is fully written in Go with encore.dev being our infra-as-code and CI solution (willing to change this). This also means our app can be deployed to GCP, AWS or Azure independently. We also have some python and typescript services, which we use mostly for SQL optimisation and headless browser workloads. We plan to stick to Go as our primary language, however we are open to using python for more parts of our Data Layer. Must-haves • 5+ years of software development experience, • 3+ years designing reliable, scalable, enterprise-grade solutions, • High competency in type safe languages like Go, Rust, Java, C etc.., • Proven track record of building software from the ground up, including infrastructure, CI/CD, and more, • Comfortable speaking with customers and taking on multiple roles (support, debugging, operations—you name it)., • Strong experience with SQL and a variety of storage systems, • Cloud expertise (AWS, GCP, or Azure) Bonus Points For • Experience with event-driven architectures, • Experience with ML & data modeling Why Join Us? This is a great opportunity to join an early-stage startup and take on multiple responsibilities from the start. Working closely with the founding team, you’ll help shape the company’s direction and make a real impact on its success—and, in turn, your own (1.5% equity!). You’ll gain valuable experience in building early-stage products, making this an incredible opportunity if you aspire to start your own business one day. Compensation • Base: from £75k+, • Equity: 1.5% (3-yr vest)

Join the SmartCo Team as a Gen AI Engineer SmartCo Consulting is one of the UK’s fastest-growing technology consultancies. We are looking for a GenAI Engineer, who is passionate about leveraging AI to solve real-world business problems. We are seeking a highly skilled AI Engineer to design, build, and deploy intelligent systems that drive measurable business impact for one of our Financial clients. Key Responsibilities: • Develop and implement AI models using machine learning and deep learning techniques., • Partner with stakeholders to translate business needs into AI solutions., • Integrate AI models into existing business systems for seamless operation., • Test, validate, and optimize AI models for accuracy and reliability., • Collaborate with data scientists, software engineers, and cross-functional teams., • Monitor and refine AI solutions based on feedback and new data., • Mentor junior team members and provide technical guidance., • Ensure ethical and regulatory compliance in AI solutions. Required Skills & Experience: • Proficiency in machine learning, deep learning, and AI system design., • Hands-on experience with AI platforms like OpenAI API, Azure AI, Foundry, Databricks, and LangGraph., • Proficiency in Python and experience deploying AI models into production., • Strong communication skills to translate technical concepts into business value., • Familiarity with ethical AI practices and compliance frameworks. Preferred Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field., • Experience in consulting or client-facing technical roles., • Proven track record of delivering AI-powered solutions in enterprise environments. About SmartCo Consulting We are transformation specialists that position people at the heart of digital change programmes. Delivering high-impact, value-led consultancy across advisory, execution and optimisation services. We’ve built a diverse, high-performing team of experts who consistently deliver exceptional outcomes.

Do you want to build agentic AI systems used by over 30 global retail brands? Looking to scale ML/LLM products in a fast-growing, post-Series A startup? Keen to work hands-on with MLOps, LLMs, and backend APIs in a high-impact role? We're working with a company that’s redefining retail analytics through AI. Their suite of intelligent tools—used by over 30 global brands—enhances merchandising, shopper journey planning, and range optimisation. Profitable from day one and now scaling fast, they’re growing their engineering team to meet rising client demand. This Senior AI Engineer will work across the business to ideate LLM use cases and own data pipelining, ML deployment and finetuning. Responsibilities: • Build scalable backend systems powering ML/LLM-driven tools, • Design and maintain CI/CD-enabled MLOps pipelines, • Develop robust APIs to serve production AI models, • Collaborate with data scientists and product teams, • Optimise big data and cloud infrastructure (Azure/GCP) Requirements: • 3+ years in data engineering or MLOps, • Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace), • Proficient with Airflow, DBT, Docker, Kubernetes, • Cloud deployment experience (Azure preferred), • Backend/API development experience with client-facing exposure Interested? Please apply below.

Join Us as a Data Engineer for Our Client At Peregrine, we’re always seeking Specialist Talent with the ideal mix of skills, experience, and attitude to place with our diverse range of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now. How Specialist Talent Works As a permanent employee of Peregrine, you’ll enjoy all our standard benefits while being deployed across our portfolio of clients as a specialist consultant. You’ll work on a wide array of complex projects across multiple industries, gaining exposure to cutting-edge technologies and high-impact initiatives. The Role We’re looking for a Data Engineer to join a highly regulated environment, where you’ll be responsible for designing, building, and maintaining secure, scalable, and efficient data pipelines across cloud and on-premises platforms. Your work will enable seamless data integration, transformation, and delivery to support analytics, reporting, and operational needs. You’ll collaborate with data architects, cybersecurity experts, and compliance teams to integrate data from diverse sources including databases, APIs, and cloud services. Your pipelines will support batch processing, real-time streaming, and event-driven architectures. Responsibilities • Design, build, and maintain secure and scalable data pipelines using NiFi and other big data tools., • Optimize NiFi flows for performance, reliability, and error handling., • Integrate data from cloud platforms, SQL/NoSQL databases, APIs, and third-party systems., • Ensure data infrastructure complies with regulatory and security standards., • Support data migration and disaster recovery strategies., • Monitor and improve data infrastructure performance., • Collaborate with cross-functional teams to align data solutions with business and compliance needs., • Document data flows and engineering processes for transparency and knowledge sharing. Skills & Experience Programming & Data Technologies • Proficiency in Java and SQL., • Experience with C# and Scala is a plus., • Familiarity with ETL tools and big data platforms., • Knowledge of data modelling, replication, and query optimization., • Experience with SQL and NoSQL databases., • Experience in hybrid environments (cloud/on-prem)., • Skilled in integrating diverse data sources., • Experience with CI/CD pipelines for deploying data flows and infrastructure., • Comfortable in Agile/Scrum environments., • Strong communication skills for technical and non-technical audiences., • Proven ability to collaborate across engineering, product, and compliance teams., • Strong problem-solving skills for complex data flow issues., • Ability to manage multiple priorities in dynamic environments., • Detail-oriented with a focus on quality and delivery. About Us At Peregrine, we look beyond the immediate and toward the horizon. We build lasting partnerships with our clients and deliver flexible resourcing solutions to help them grow the workforce they need. Our benefits package supports you throughout your career with us. Our Culture We embrace fresh ideas and fast learning. Our solutions are trusted and built on a solid foundation. We value openness, honesty, and collaboration. We believe our work can positively impact society—whether it’s sourcing digital talent or driving social mobility. Our Commitment to Diversity We champion diversity and inclusion through company-wide initiatives. Our teams represent a wide range of cultures, languages, and backgrounds. We partner with charities to stay informed and continuously improve our practices, helping our clients build more diverse teams.

About Us Founded in 2017, ID5 has become a global leader in digital identity solutions for the advertising technology industry, partnering with premium publishers, platforms, and advertisers worldwide. Our mission is to enhance addressability across digital environments, providing best-in-class solutions for data protection and identification. Backed by industry investors, ID5 operates as a remote-first company with a commitment to innovation, inclusion, and global collaboration. Role Overview: We are looking for a versatile Data Engineer with a strong relation to Java backend engineering to join our Graph Delivery team and help build, extend, and maintain customer-facing graph solutions. You will work on large-scale batch processing pipelines while also contributing to APIs and sometimes UIs, ensuring our products remain reliable, efficient, and impactful. The role requires strong problem ownership, and clear communication across teams like other Engineering teams, Product, and Solution Consulting. You’ll deliver immediate value through fixes and features, while long term driving the evolution of our graph products with new capabilities, improved performance, and architectural coherence. Key Responsibilities: • Join a team to design, build, and maintain batch-oriented high scale data products, along with the APIs and minimalistic UIs that support them., • Collaborate with Product, Solution Consulting, and Sales Engineering to deliver solutions for our most strategic customers—whether next-generation innovations or custom-tailored adaptations., • Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs, • Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader architecture. Required Qualifications: • 5+ years of experience in backend and/or data engineering roles, with a strong focus on building and maintaining data pipelines., • Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot, • Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow., • Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes., • Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks), • Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent)., • Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch, • Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar)., • Excellent communication and collaboration skills, with the ability to work independently and adapt quickly to complex codebases., • Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent experience. What we offer to our talent • Remote-first working policy, • A competitive compensation package, including stock options in ID5, • WeWork membership and option to work from different WeWork locations, • Regular offsites to enjoy face-to-face time and to bond further with your colleagues, • A dynamic environment that offers room for growth and development to all employees, • A friendly, international, and multicultural team, • We are proud to be an equal opportunity employer. We celebrate diversity and are passionate about creating an inclusive environment in which all employees can thrive More about ID5 Launched in September 2017, ID5 currently employs 60 people and works with premium publishers, ad tech platforms, and advertisers globally. Built to improve addressability across all digital advertising environments, ID5 has rapidly established itself as the most adopted identity solution in the market, prevailing over larger and more established companies thanks to its unique position and focus on providing the best identification and data protection technology. The company is backed by financial and strategic industry investors who believe in ID5’s vision and plan. This investment has allowed ID5 to expand the business, increase its footprint globally, and hire the best talent to support its ambitious growth plans. Recognized as one of the most outstanding employers by ___, ID5 is a remote-first company, allowing employees to work from different locations and time zones indefinitely. We equip our team with all the tools needed to perform their work remotely, and we ensure people bond and stay connected thanks to regular all-hands meetings, communication tools such as Slack and Zoom, and by organizing regular offsites around the world. We also offer WeWork membership for those who prefer not to work from home, and allow individuals to move across different WeWork locations. More details about our remote-first organization here: 6927642580742504449-KbhL

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal Infrastructure Engineer – Azure will design and maintain scalable, compliant, and cost-optimized infrastructure blueprints across Syniti’s Azure-hosted environments. This role directly supports the global expansion of our SaaS platform by delivering IaC and architectural frameworks aligned to regional compliance (Cyber Essentials+, SecNumCloud) and Northstar’s goals of regionalized builds, observability, and zero-trust boundaries. This engineer will serve as the Azure infrastructure lead for the technical initiative to port Syniti’s platform to Azure. They will define and validate baseline infrastructure, cloud-native service integrations, and CI/CD deployment models that ensure operational consistency and compliance across hyperscaler environments. WHAT YOU WILL DO · Design reusable infrastructure modules for deploying PaaS services, networking, and identity in Azure. · Collaborate with SREs and platform teams to develop hardened Azure blueprints for regulated workloads. · Implement tagging, policy, and automation frameworks that enforce cost control and compliance adherence. · Build and maintain CI/CD integrations for Azure region deployment automation. · Serve as Azure infrastructure SME in support of audits and security reviews (Cyber Essentials+, SecNumCloud) WHAT IT TAKES · Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems. · Exceptional documentation and system architecture design capabilities. · Strong system design thinking and architectural decision making. · Excellent written and verbal communication skills across engineering and compliance teams. · Self-motivated with a focus on infrastructure maintainability and automation. · Experience supporting regulated environments · 15+ years of infrastructure and cloud engineering experience. · 5+ years of hands-on Azure experience with a focus on PaaS services, networking, and Azure Policy. · 3+ years experience with Terraform module development for infrastructure provisioning. · Experience with Azure native security, workload identity, and role-based access control. · CI/CD and automation experience with GitHub Actions or Azure DevOps. · Experience building regionally compliant architectures (UK, France, Canada). Be fully aligned to our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Role: Data Scientist / Data Analyst — Property Use-Case Modelling Company: adema.ai (UK PropTech) Location: Remote-friendly (UK/EU time zones) • Full-time Mission Help us add new property use-case analyses (e.g., Residential, Social Housing, Commercial, Care, STR, EV Charging, Data Centres). You’ll research and source datasets, build models that infer demand/supply and revenue potential at the most local level possible, and ship them into our product. What you’ll do • Map each “use case” data landscape: Identify, evaluate and acquire structured sources (e.g., prices, rents, demographics, planning, POIs, transport, connectivity) and useful unstructured sources (local plans, market reports, PDFs). Track licence terms and provenance., • Engineer geospatial & temporal features: Join/clean data, spatially downscale/coalesce (e.g., LA → LSOA/sector/property) using proxies (prices, comps, time-series trends, neighbourhood features, travel times)., • Build predictive/forecast models: Estimate demand, supply, pricing/rent & revenue; quantify uncertainty; design robust validation and back-testing., • Productionise your work: Persist outputs in Postgres/PostGIS, expose via GraphQL; implement services in Go or Python; write clear SQL views, tests and docs; monitor data quality and model drift., • Extract signal from unstructured data: Scrape/download reports, parse tables/figures, apply LLM-assisted extraction where useful; convert to structured features., • Collaborate across the stack:, • With Product to define success metrics and MVP scope per genre., • With Backend to integrate pipelines/APIs., • With Frontend/AI teams to shape GraphQL queries and agent/tool schemas., • Ship iteratively: Prioritise “easier” genres first (Residential, Commercial), then expand to specialised sectors. Document assumptions and limitations. What you’ve done • 3+ years in Data Science / Analytics (or 2+ with a strong portfolio) delivering models into production., • Strong Python (pandas/numpy/scikit-learn; XGBoost/LightGBM; basic PyTorch a plus) and SQL., • Solid geospatial skills (PostGIS/GeoPandas/QGIS) and time-series/forecasting know-how., • ETL/ELT and data wrangling at scale; comfort with scraping and PDF/table extraction., • Good software practice: Git, containers, CI/CD, testing, clear documentation., • Product mindset: bias to ship, explain results simply, track impact. Nice to have • Go, GraphQL, dbt, Airflow/Dagster, FastAPI; Azure., • UK property/economics exposure (Land Registry, EPC, census/ONS, planning, VOA etc.)., • LLM/AI experience for information extraction or analyst co-pilots. Success looks like 30 days: Different types of Residential models live in app (Postgres/PostGIS + GraphQL), with documented features, validation and property-level scoring. Why adema.ai We’re building the decision layer for UK property — rigorous data, clear modelling, and real-world utility. If you love turning messy datasets into decisive answers, you’ll fit right in. HOW TO APPLY Please send your CV to and we will come back to you quickly.

Senior FinOps Engineer Salary: £80,000-100,000 (Depending on experience) Location: Remote with occasional travel (Must be UK based) Maxwell Bond have partnered with a well-established Software company who are on a large transformation journey and on the lookout for a Senior FinOps Engineer. This is a great time to be joining the business as you'll have the opportunity to make a positive impact and shape the future of the business. They have a large roadmap of work with exciting opportunities on the horizon and as Senior FinOps Engineer, you'll identify where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You’ll Do as Senior FinOps Engineer: • Be the SME in the FinOps department, understanding fundamentals and building internal tooling from scratch., • Work with a well-rounded team of experienced engineers, optimising their cloud spend., • Identify potential improvements and prioritise accordingly, promoting best practices. What's in it for you: • Salary up to £100,000, • 25 days holidays & bank holidays, • Remote working - occasional team meet up's across the UK, • Private healthcare If you're looking to join a business where you are given the autonomy to make positive impacts and changes to the FinOps, building tooling from scratch and work amongst a collaborative team, apply now!!

Senior DevOps/Platform Engineer – Remote | SC Eligible 📍 Ideally based near London / M4 / M3 Corridor (in case of hybrid client assignments) 🕒 Full-time | Permanent | Flexible hours 💰 £60k - £80k DOE 🚀 Lead impactful cloud transformation projects across public and private sector clients. About us Ntegra is a specialist technology practice on a mission of Digital Empowerment through building Digital products. We are dedicated to innovation and continuously seeking enthusiastic and motivated individuals to join our dynamic team. Learn more about the work we do here: ___ Ntegra is a specialist technology practice on a mission of Digital Empowerment through building Digital products. We are dedicated to innovation and continuously seeking enthusiastic and motivated individuals to join our dynamic team. Learn more about the work we do here: The successful candidate will represent Ntegra, working directly with our high-profile public and private sector clients. Our Platform Engineers are responsible for the development and deployment of automation solutions using tools such as Ansible, Terraform and coding languages including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more junior team members internally. 💡 The successful candidate will: • Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed, • Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions, • Collaborate with data engineers, DevOps teams, and clients to deliver secure, high-performing environments, • Drive innovation, mentor others, and implement best practices across cloud and DevOps ✅ Essential: • Proven hands-on experience with GCP services (GKE, Compute, IAM, networking, etc.), • Skills in infrastructure-as-code (Terraform), scripting (PowerShell, Python, Bash), and CI/CD, • Strong stakeholder communication and a proactive, collaborative mindset, • Alignment to Ntegra's values: Open & Honest, Collaborative, Can Do Attitude, Leads By Example., • Ability to gain SC Clearance ⭐ Desirable: • Experience in a Consultancy/Practice environment., • Current SC Clearance. 🎁 We offer: • Flexible remote working + private healthcare + enhanced leave, • Interesting and varied work, • Professional development, L&D support + peer recognition bonuses, • A welcoming, inclusive team culture 📩 Apply now – Even if you don’t tick every box, we value passion and potential just as much as experience. 🔒 Due to the nature of our work, SC clearance is a requirement. We are only accepting direct applications for this role, agencies need not apply.

Description Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors. Team mission: Our team enables the delivery of high-quality software to a variety of environments through technical skills, process implementation and software management, anchored in a continuous innovation culture What you’ll be doing: As a DevOps Engineer at Ripjar you will be responsible for ensuring the reliability and security of the infrastructure that underpins our development and operational services. You will play an active role in supporting and continuously improving our core infrastructure offering, providing a solid foundation upon which we can deliver cutting-edge solutions to our customer Key tasks: • Automate the deployment, operation and maintenance of systems in a hybrid cloud environment using Infrastructure as Code and Configuration Management tooling., • Administer systems and applications hosted on Linux-based systems, • Design, deploy and maintain IP networks., • Create robust automated solutions to allow development teams to self-serve routine infrastructure requests., • Improve code security by integrating security testing tools into build and deployment pipelines., • Implement effective monitoring of the reliability and security of applications and infrastructure services. Requirements: The successful candidate should have these skills: ilWe recognise that demonstrable skills in all these technologies is not easy to find. Don’t let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps. • Strong experience of administering and securing Linux hosts on both virtual and physical infrastructure., • Extensive experience using Infrastructure as Code and Configuration Management tooling, e.g. Ansible, Terraform, Helm., • Experience of configuring, managing and securing public cloud infrastructure, e.g. AWS, Azure., • Experience of administering containerised applications using Kubernetes and Docker., • Experience of administering IP networking in a corporate environment., • Experience of automating tasks using languages and tools such as Bash, Python, JavaScript, and GitHub Actions, • Knowledge of how to effectively use security testing and monitoring tooling, e.g. SAST and SIEM products. Candidates with the following background will be of particular interest: • Experience contributing to incident response across a complex microservice-based application., • Application Security best practice including identifying potential threats and vulnerabilities in applications, designing secure software systems, and implementing robust security measures. Benefits: Why we think you’ll love it here: • Base Salary of up to £75,000 per year dependent on skills and experience, • 25 days annual leave + Birthdays off, rising to 30 days after 5 years of service, • Fully remote working with occasional travel to Cheltenham., • Private Family Healthcare, • Life Assurance., • Employee Assistance Programme, • Company contributions to your pension, • Enhanced maternity/paternity pay, • The latest tech including a top of the range MacBook, • There is a well-stocked pantry with food, snacks and drinks when in the office

Software Engineer .NET (Senior/Principal level) £60,000 – £85,000 Remote (UK) Are you passionate about writing clean, scalable code and ready to shape a platform used by merchants across the globe? We're working with a fast-growing global payment processing platform that’s scaling rapidly after a major acquisition. They are building a high-performance, merchant-first ecosystem that prioritises quality, resilience, and scalability - and they are searching for .Net Software Engineers to join them on their growth journey. What You’ll Do: • Architect and build core platform services, APIs, and portals that deliver real business impact., • Elevate performance and reliability using smart, efficient engineering., • Instill best practices in system design, quality, and delivery., • Collaborate across engineering, product, and architecture teams to solve real problems the right way. Technologies: • Languages & Frameworks: C#, .NET Core, • Architecture: Event-driven, service-oriented, • Cloud & Infrastructure: Azure (or AWS), Infrastructure-as-Code, • Data & Integration: SQL, caching, message brokers (e.g., RabbitMQ), • Front-End: HTML, CSS, JavaScript, • Engineering Practices: CI/CD, Behaviour-Driven Development, modern agile workflows Who We’re Looking For: • Senior Engineers: 5+ years building enterprise-grade systems; strong with OO design, SOLID principles, refactoring, and integrations., • Principals: 10+ years of hands-on coding and architectural leadership; adept at influencing technical direction and guiding complex systems. Why You’ll Love Working Here: • Remote-first within the UK & Ireland, • 45 days holiday, plus bank holidays, • Private family healthcare, • Annual learning & certification allowance, • Clear career growth path, with or without stepping into management Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs’

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities. Responsibilities • Design, develop, implement, and train very large AI models, with a focus on LLMs., • Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain., • Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions., • Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models., • Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team., • Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation., • Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred., • Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs., • Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry., • Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques., • Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus., • Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences., • Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable. Desired Skills • Experience with specific LLM architectures (e.g., Transformers, RNNs)., • Familiarity with time series analysis techniques., • Experience with cloud computing platforms (e.g., AWS, GCP, Azure)., • Strong software engineering skills and experience with version control systems (e.g., Git)., • Ability to work independently and as part of a team. While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process. At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.

Position Title: Software Engineer Developer Location: Hybrid Working - 2 days in office per week Office can be based in either Central London, Manchester, Peterborough or Rugby Job Summary The Software Engineer Application Developer supports business solutions. The purpose of this role is to develop business software solutions for complex and large-scale projects through object and data modelling, database design, programming, quality assurance, and implementation support. The Sr Software Eng II Application Developer participates in application standards development and serves as an evangelist for best practices. What you will do • Perform all stages of the software development life cycle, self-manage activities on smaller projects and serve as technical lead on small, medium and large projects., • Determine operating requirements, costs, as well as resource needs for assigned projects and work in conjunction with a project manager on initiatives., • Co-lead with Project Manager employing object-oriented analysis and design techniques including use case analysis, object modelling, and database schema design to ensure business requirements and design goals are met., • Participate in application architecture planning (including system partitioning and framework design) to determine optimal solution architecture, efficiency, maintainability, and scalability, • Lead / develop: High-level system narratives, storyboards, and user interface prototypes., • Lead / develop: Detailed design specifications for hardware and software use by the technical team., • Lead / develop: System test plans, ensure software quality assurance (SQA) standards are achieved, and validate that business goals are accomplished., • Lead / develop: Detailed estimates for projects, including resource allocation, timelines, and budget., • Develop applications to CDW coding standards and quality., • Identify issues that require more attention, and work to resolve issues based on an understanding of the business problem being solved., • Make technical decisions to meet the design goals laid out in product road map and by management, • Coach, mentor and monitor progress of jr. members, mentor & coach, • Draw appropriate resources together to address technical issues., • Direct and focus the efforts of the technical project team., • Complete projects/tasks on a timely basis, according to commitments made to stakeholders and management., • Report project/task status to the management., • Collaborate with business and project teams to gather requirements and business needs., • Make technical decisions to meet the design goals laid out in product road map and by management., • Identify issues that require more attention, and work to resolve issues based on an understanding of the business problem being solved., • Draw appropriate resources together to address technical issues., • Direct and focus the efforts of the technical project team., • Monitor progress of project teams., • Mentor and coach junior team members., • Complete projects/tasks on a timely basis, according to commitments made to stakeholders and management. Report project/task status to the management., • Step in as team member throughout the software development process as needed What we expect of you Minimum basic requirements • 7 years in application development, • Bachelor’s degree or equivalent practical experience., • Microsoft Navision (Business Central) - 5 or more years’ full time development experience specifically working with the NAV C/SIDE C/AL development language, • Dynamics 365 – 3 or more years’ full time development experience specifically working with the BC and AL development language Configuration, PowerApps, Power Automate, and Common Data Service (CDS)., • Database Management – SQL Server, Azure SQL, Data Modelling, MongoDB, • Web Technologies – REST APIs, SOAP, JSON, XML., • Experience of high-volume transactional systems demanding efficient code, • Experience of systems integrations, • Ability to document code in compliance with company standards and practices, • Ability to debug errors efficiently and effectively, • Capable of managing multiple assignments simultaneously, • Enthusiasm for testing their own code before delivering it, • Enjoy working as part of a close multi-skilled team, • Excellent organisational and time management skills Preferred skills, experience, and qualities needed • 5 years of experience in software development as a Software Engineer in NAV2009 working with the NAV C/SIDE C/AL development language., • 3 or more years’ full time development experience specifically working with the BC and AL development language Configuration, PowerApps, Power Automate, and Common Data Service (CDS)., • Certifications in Dynamics 365, Salesforce, Workday, PeopleSoft, Azure, or Informatica are a plus., • Experience with Agile methodologies and DevOps practices is beneficial

Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. Summary We’re looking for a highly experienced Solution Engineer with deep knowledge of UK banking, enterprise-level integrations, and cloud architecture. You’ll sit at the intersection of technology, product, pre-sales, and customer implementation—designing and delivering solutions that bridge our AI platform with client environments. You’ll ensure solutions are not only technically excellent, but also secure, compliant, and optimised to deliver rapid time-to-value for our financial services clients. Key Responsibilities • Rapidly develop expertise in our platform capabilities, technical landscape, and customer needs, • Lead the design and architecture of secure, scalable, compliant solutions in UK banking and enterprise financial services environments, • Design/document integrations between internal systems and external banking platforms, • Ensure solutions meet FCA compliance, data protection, and risk management standards, • Work closely with product, engineering, sales, and customer teams to translate business needs into technical architecture, • Provide architectural oversight from design through delivery, • Contribute to multi-cloud architecture decisions (AWS, Azure, GCP), • Stay ahead of tech trends, regulations, and best practices to keep solutions future-ready What You’ll Bring • Proven experience in a Solution Engineer or similar role, ideally working with financial services customers, • Strong knowledge of enterprise integration approaches and multi-cloud environments, • Working understanding of FCA regulations and compliance needs, • Familiarity with AI solution deployment and how AI integrates into enterprise workflows, • Excellent communication and stakeholder engagement skills, • Ability to translate complex technical concepts for business and non-technical audiences, • Relevant certifications (AWS, Azure, TOGAF, CISSP) advantageous What We’re Looking For in You • A self-starter who thrives in fast-paced scale-up environments, • Someone who focuses on practical, fit-for-purpose solutions, • Skilled at balancing short-term delivery needs with long-term strategic goals, • Interested in AI/ML and its application in financial services, • Flexible to travel for client workshops What We Offer • A collaborative and innovative work environment with awesome career growth opportunities, • 34 days holiday plus your birthday off (inclusive of bank holidays), • Share options – we believe in shared success, • Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do, • Remote and flexible working – remote, co-working spaces, or a mix of both, • Life insurance, income protection and private health care, • Freebies and discounts at a range of retailers, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO · Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions. · Build reusable IaC modules in terraform for network, compute, and managed PaaS services. · Integrate Azure-native logging, security, and cost optimization with observability pipelines. · Lead incident resolution and proactive failure domain analysis within Azure-hosted regions. · Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities. · Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements. · Drive self-healing systems using automation to reduce toil and human intervention. · Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES · Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems. · Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems. · Strong communication and cross-regional collaboration capabilities. · Deep technical expertise across Azure infrastructure and platform services. · Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes. · Strong customer service and problem-solving orientation. · 15+ years of experience in infrastructure, cloud, or SRE roles. · 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor. · 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi. · 3+ years implementing or maintaining CI/CD pipelines. · 2+ years of Software Development experience · Advanced scripting skills in Bash, Python, or Go. · Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations. · Experience supporting compliance efforts in UK/EU-regulated environments. Be fully aligned to our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Senior Infrastructure Engineer – Azure will contribute to building scalable and secure cloud environments in Microsoft Azure for Syniti’s SaaS platform. This role supports the technical execution of infrastructure automation, cost optimization, and regional compliance. WHAT YOU WILL DO · Develop and maintain Terraform Azure IaC modules for PaaS services, networking, and resource governance. · Implement secure workload identity, service endpoint controls, and resource policies. · Partner with SRE and platform teams to optimize Azure region builds. · Support observability, tagging standards, and drift detection in Azure environments. WHAT IT TAKES · Strong infrastructure automation and operations troubleshooting capability. · Solid understanding of Azure managed services and infrastructure patterns. · Ability to work in an agile team environment with infrastructure-as-code practices. · Good understanding of cloud security, governance, and cost containment. · Effective communicator across teams and project stakeholders · 10+ years in infrastructure engineering. · 3+ years of Azure experience (AKS, AAD, App Services, VNet, Monitor). · 2+ years of Terraform Azure development for provisioning. · Must be experienced in coding modules in Terraform, not just configuring IaC deployments. · CI/CD tools (Azure DevOps, GitHub Actions). · Python or PowerShell scripting for task automation. Be fully aligned to our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Lead Software Engineer, Microsoft Azure Technologies Location: Position is remote and the successful candidate MUST be currently located and eligible to work in one of the following countries: United States, Canada, United Kingdom, Belgium, Netherlands, Germany, Spain, Romania, Hungary, Czech Republic, Israel. BlueVoyant Innovation and Enablement are seeking a talented and motivated Software Developer with strong experience in Azure SaaS and Function App development. The ideal candidate will have expertise in either C# or Python and a passion for innovation. This role requires the ability to work independently, conduct research into emerging technologies, and adapt to changing requirements. The successful candidate will also be skilled in rapidly prototyping solutions. About the team: We are a forward-thinking innovation R&D team dedicated to exploring and developing cutting-edge technologies. Our mission is to drive innovation and create impactful solutions that address real-world challenges for BlueVoyant's MDR services including integration with wider reach within BlueVoyant. We are currently undergoing a large restructure of existing capabilities to build a platform that allows for rapid innovation, development and global capabilities deployed to local regions. Responsibilities: • Design, develop, and maintain Azure SaaS applications and Function Apps., • Collaborate with cross-functional teams to define, design, and ship new features., • Conduct research into upcoming technologies and integrate them into projects., • Rapidly prototype solutions to validate concepts and ideas., • Ensure the performance, quality, and responsiveness of applications., • Troubleshoot and resolve issues in development, test, and production environments., • Stay up to date with the latest industry trends and technologies. Qualifications: • Proven experience as a technical engineering lead, • Proven experience in Azure SaaS and Function App development., • Proficiency in C#, • Proficiency in Python beneficial, • Strong problem-solving skills and the ability to work independently., • Experience with AI services in Azure is a plus., • Excellent communication and collaboration skills., • Ability to adapt to changing requirements and work in a fast-paced environment., • Strong research skills and a passion for learning new technologies. Preferred Qualifications: • Deep understanding of Azure serverless components and infrastructure, • Prior experience with AI tooling, RAG bots, AI Agents, Azure AI Studio, Azure Foundry, • Knowledge of DevOps practices and CI/CD pipelines., • Familiarity with agile development methodologies. About BlueVoyant At BlueVoyant, we recognize that effective cyber security requires active prevention and defense across both your organization and supply chain. Our proprietary data, analytics, and technology, coupled with deep expertise, works as a force multiplier to secure your full ecosystem. Accuracy! Actionability! Timeliness! Scalability! Led by CEO, Jim Rosenthal, BlueVoyant’s highly skilled team includes former government cyber officials with extensive frontline experience in responding to advanced cyber threats on behalf of the National Security Agency, Federal Bureau of Investigation, Unit 8200, and GCHQ, together with private sector experts. BlueVoyant services utilize large real-time datasets with industry leading analytics and technologies. Founded in 2017 by Fortune 500 executives, including Executive Chairman, Tom Glocer, and former Government cyber officials, BlueVoyant is headquartered in New York City and has offices in Maryland, Tel Aviv, San Francisco, London, Budapest, and Latin America. BlueVoyant uses AI-assisted tools within our applicant tracking system to help identify candidates whose experience and skills best match the requirements of a role. This technology provides hiring teams with additional insights to support fair and efficient hiring decisions. Please note that all applications are reviewed by a member of our hiring team, and final hiring decisions are made by humans, not AI. By submitting your application, you acknowledge that AI tools may assist in the evaluation of your resume as part of the recruitment process. For more information on how we process your personal data, please review our Candidate Privacy Notice available at ___. All employees must be authorized to work in the United States, Canada, United Kingdom, Belgium, Netherlands, Germany, Spain, Romania, Hungary, Czech Republic, Israel. BlueVoyant provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlueVoyant complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Job Summary The Senior Software Engineer Application Developer supports business solutions. The purpose of this role is to develop business software solutions for complex and large-scale projects through object and data modelling, database design, programming, quality assurance, and implementation support. The Sr Software Eng II Application Developer participates in application standards development and serves as an evangelist for best practices. Hybrid working pattern - 2 days in office Office based in either, Central London, Manchester or Peterborough What you will do • Perform all stages of the software development life cycle, self-manage activities on smaller projects and serve as technical lead on small, medium and large projects., • Determine operating requirements, costs, as well as resource needs for assigned projects and work in conjunction with a project manager on initiatives., • Co-lead with Project Manager employing object-oriented analysis and design techniques including use case analysis, object modelling, and database schema design to ensure business requirements and design goals are met., • Participate in application architecture planning (including system partitioning and framework design) to determine optimal solution architecture, efficiency, maintainability, and scalability, • Lead / develop: High-level system narratives, storyboards, and user interface prototypes., • Lead / develop: Detailed design specifications for hardware and software use by the technical team., • Lead / develop: System test plans, ensure software quality assurance (SQA) standards are achieved, and validate that business goals are accomplished., • Lead / develop: Detailed estimates for projects, including resource allocation, timelines, and budget., • Develop applications to CDW coding standards and quality., • Identify issues that require more attention, and work to resolve issues based on an understanding of the business problem being solved., • Make technical decisions to meet the design goals laid out in product road map and by management, • Coach, mentor and monitor progress of jr. members, mentor & coach, • Draw appropriate resources together to address technical issues., • Direct and focus the efforts of the technical project team., • Complete projects/tasks on a timely basis, according to commitments made to stakeholders and management., • Report project/task status to the management., • Collaborate with business and project teams to gather requirements and business needs., • Make technical decisions to meet the design goals laid out in product road map and by management., • Identify issues that require more attention, and work to resolve issues based on an understanding of the business problem being solved., • Draw appropriate resources together to address technical issues., • Direct and focus the efforts of the technical project team., • Monitor progress of project teams., • Mentor and coach junior team members., • Complete projects/tasks on a timely basis, according to commitments made to stakeholders and management. Report project/task status to the management., • Step in as team member throughout the software development process as needed What we expect of you • 7 years in application development, • Bachelor’s degree or equivalent practical experience., • Microsoft Navision (Business Central) – 5 or more years’ full time development experience specifically working with the NAV C/SIDE C/AL development language, • Dynamics 365 – 3 or more years’ full time development experience specifically working with the BC and AL development language Configuration, PowerApps, Power Automate, and Common Data Service (CDS)., • Database Management – SQL Server, Azure SQL, Data Modelling, MongoDB, • Web Technologies – REST APIs, SOAP, JSON, XML., • Experience of high-volume transactional systems demanding efficient code, • Experience of systems integrations, • Ability to document code in compliance with company standards and practices, • Ability to debug errors efficiently and effectively, • Capable of managing multiple assignments simultaneously, • Enthusiasm for testing their own code before delivering it, • Enjoy working as part of a close multi-skilled team, • Excellent organisational and time management skills Preferred skills, experience and qualities needed • 5-7 years of experience in software development as a Senior Software Engineer in NAV2009 working with the NAV C/SIDE C/AL development language., • 3 or more years’ full time development experience specifically working with the BC and AL development language Configuration, PowerApps, Power Automate, and Common Data Service (CDS)., • Certifications in Dynamics 365, Salesforce, Workday, PeopleSoft, Azure, or Informatica are a plus., • Experience with Agile methodologies and DevOps practices is beneficial.

Role: Senior Full-Stack Developer Location: London (Hybrid – 3 days in-office per week) Start Date: ASAP Day Rate: £550 p/d (Outside IR35) About the Company A fast-growing UK-based organisation is building software to support the delivery of high-integrity environmental solutions. Their clients include major developers and infrastructure providers, and the company is scaling rapidly. A core focus is on developing reliable internal tooling for pricing, compliance, quoting, and stock availability. The Opportunity They’re looking for a hands-on Senior Full-Stack Engineer to take ownership of the first production-ready version of their quoting and automation platform. This includes database design, backend development, and a robust front-end that internal teams can rely on daily. You’ll be responsible for architecture, implementation, deployment, and ensuring reliability from day one. Key Responsibilities Quoting & Optimisation Engine • Implement logic for pricing BNG/NN units, including rule-based calculations (e.g. adjacency, trading caps)., • Build systems that intelligently allocate available stock based on multiple constraints (e.g. location, pricing)., • Automate tasks like stock updates, KPI reporting, and pricing refreshes., • Refactor internal data sources into structured, versioned SQL-backed models., • Build a reliable, performant front-end for non-technical commercial users., • Develop middleware to surface business insights., • Set up authentication (SSO preferred), RBAC, audit trails, and security best practices., • Own CI/CD pipelines, infrastructure as code, and system monitoring from the start. Tech Stack & Experience Essential • Strong full-stack background: TypeScript with React (or similar), Python (FastAPI) or Node.js (NestJS)., • Data: PostgreSQL preferred; solid experience with schema design, migrations, and performance tuning., • Cloud/DevOps: Azure or AWS, Docker, GitHub Actions, IaC tools (Terraform/Pulumi)., • Security-first mindset: OAuth/OIDC, token auth, logging, and secure architecture., • Testing & Docs: Confident with writing tests, documenting APIs, and delivering production-grade systems.

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. Use Azure Data Factory to ingest, transform, and expose data across the platform. Help centralise data into a Data Lake, ensuring it's clean, str

To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. Collaborating with AI engineers to ensure data readiness for model training and inference.

I am currently working with a leading consultancy who are looking for a Data Engineer with strong Azure, ADF, Power BI, Data Pipelines and ideally Fabric experience, to work closely with a high profile end customer. Data Engineer - Azure, ADF, Power BI, Data Pipelines, Fabric. Demonstrable experienc

Senior Azure AI Engineer - Contract London / Hybrid SC Clearance Required Inside IR35 Adeptis Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry. This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You’ll be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities • Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry., • Build and optimise AI pipelines, orchestration, and observability frameworks., • Ensure solutions meet security, governance, and compliance standards., • Collaborate with cross-functional teams to align AI projects with business outcomes., • Develop proof-of-concepts and evaluate their business impact., • Create technical documentation and share best practices across teams. Essential Skills & Experience • Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio., • Strong understanding of data science, machine learning, and agentic AI orchestration., • Experience with Generative AI, NLP, and prompt engineering., • Solid grasp of AI governance, observability, and responsible AI frameworks., • Excellent communication skills and stakeholder collaboration experience. Desirable • Microsoft Certified: Azure AI Engineer Associate. For more information, apply via the link or contact Hubert Colvin on / +44 (0) 2033 013 792 Adeptis Group - Connecting Talent, Securing the Future

Data Engineer (Databricks) Location: London (Hybrid – 2 days onsite and 3 days from home ) Type: Permanent Note: No sponsorship available Represented by: Robert Half Limited Our client is a fast-growing tech business building a modern data platform. They’re looking for a Data Engineer with strong Databricks skills to design, build, and optimise scalable data pipelines and models that power analytics across the company. Key Skills: • 3–5+ years as a Data Engineer, • Hands-on with Databricks, Spark, Python, SQL, • Cloud experience (Azure, AWS, or GCP), • Build and optimise ETL pipelines, • Enable analytics and reporting teams, • Modern tech stack, fast-paced environment, • Direct impact on data strategy, • Quick 2-stage process + excellent benefits

Lead Data Engineer • £90,000–£100,000, • Central London | Hybrid (3 days on-site) A leading European intellectual property firm is seeking a "Lead Data Engineer" to join its Technology & Innovation team. The firm partners with some of the world’s most innovative and successful organisations, helping to improve lives by supporting creativity, technology, and progress. Its people are at the heart of everything it does — talented, curious, and collaborative individuals who thrive on solving complex challenges and delivering exceptional results. The firm fosters a friendly, inclusive environment where ideas are shared freely, learning is continuous, and everyone is empowered to be their authentic selves. The organisation is a proud supporter of initiatives that promote diversity, inclusion, and social mobility, and actively champions wellbeing and community engagement across all areas of the business. 🚀 The Opportunity Reporting to the Director of Technology & Innovation, the "Lead Data Engineer" will play a pivotal role in shaping the firm’s data and analytics landscape. The successful candidate will lead a high-performing team responsible for designing, building, and optimising scalable, cloud-based data platforms that drive business intelligence, AI innovation, and data-informed decision-making across the firm. This senior role combines hands-on technical expertise with strategic leadership, offering the opportunity to define the data vision and enable meaningful business transformation. Key Responsibilities • Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP)., • Develop ETL/ELT pipelines to manage structured and unstructured data at scale., • Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics., • Integrate AI and automation into the firm’s data infrastructure., • Establish data governance frameworks, ensuring quality, consistency, and compliance (GDPR, ISO 27001)., • Partner with business leaders to align data initiatives with organisational objectives., • Mentor and develop a team of data engineers and analysts. Candidate Profile • Proven experience leading data engineering or BI teams in complex organisations., • Expertise in cloud data platforms and data processing services., • Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling)., • Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures., • Familiarity with AI/ML applications, metadata management, and data lineage tracking., • Excellent communication and stakeholder management skills., • Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining a healthy work-life balance and offers a culture that supports wellbeing, growth, and flexibility. Alongside a competitive salary, the role offers: • 25 days’ holiday (increasing with service) plus holiday buy and bonus schemes, • Up to 10% employer pension contribution, • Private medical insurance via Bupa, • Generous family, fertility, and wellbeing policies, • Hybrid and flexible working arrangements, • Paid volunteering day each year, • Access to 24/7 wellbeing and mental health support To find out more click apply or email

Network & Infrastructure Engineer Location: London / Hybrid Salary: £40,000-£60,000 Overview We are seeking an experienced Network & Infrastructure Engineer to design, implement, and support secure, scalable, and high-performing technology environments across our organisation. This is an exciting opportunity to work at the cutting edge of Smart Building applications, IoT, IT/OT convergence to integrate building auto; HVAC, lighting, security and IoT with enterprise IT Systems. This is a hybrid technical and stakeholder-facing role, combining hands-on engineering expertise with project delivery and business engagement skills. You’ll lead network and infrastructure initiatives end-to-end — from understanding user needs and translating them into technical designs, through to deployment, documentation, and optimisation. The ideal candidate will have a strong grounding in network and security technologies, cloud infrastructure, and project management, with the ability to communicate effectively across technical and non-technical teams. Key Responsibilities Network & Infrastructure Design • Design, deploy, and maintain network infrastructure including LAN/WAN, wireless, VPN, and firewalls., • Configure and manage network segmentation, VLANs, and routing to support secure and efficient data flow., • Oversee server, storage, and virtualisation environments (on-premise and/or cloud)., • Ensure network and infrastructure security align with organisational policies and standards (ISO27001, GDPR, etc.)., • Configure and monitor firewalls, intrusion detection/prevention systems, and endpoint security solutions., • Support identity and access management, MFA, and secure network access policies., • Lead infrastructure and network projects from scoping through delivery, ensuring quality, cost, and time objectives are met., • Define technical requirements and translate business needs into deliverable solutions., • Develop and maintain project documentation including architecture diagrams, risk registers, and deployment guides., • Manage vendors, suppliers, and third-party contractors to ensure aligned delivery outcomes., • Act as a trusted advisor to internal teams and business units, gathering and translating technical requirements into actionable solutions., • Collaborate closely with IT, Operations, Security, and external partners to ensure seamless integration and delivery., • Communicate complex technical concepts in clear, non-technical language for diverse audiences., • Provide third-line support for network and infrastructure incidents and escalations., • Monitor system performance and implement improvements to enhance reliability and scalability., • Maintain detailed documentation of infrastructure, configurations, and changes., • Participate in an on-call or escalation rota as required. Qualifications & Experience Essential: • 5+ years’ experience in network and infrastructure engineering roles., • Proven experience managing and delivering technical projects end-to-end., • Strong knowledge of IP networking, routing, switching, VLANs, VPNs, and firewall configuration (Cisco, Fortinet, Palo Alto, etc.)., • Hands-on experience with cloud platforms (Microsoft Azure, AWS, or equivalent)., • Familiarity with Active Directory, Azure AD, DNS, DHCP, Group Policy, and M365 environments., • Strong understanding of cybersecurity principles, access control, and encryption standards., • Relevant certifications (CCNA, CCNP, CompTIA Network+/Security+, Azure Administrator, etc.)., • Experience with infrastructure automation or scripting (PowerShell, Python)., • Knowledge of monitoring and observability tools (SolarWinds, PRTG, Grafana, etc.)., • Experience with ITIL practices and ServiceNow or equivalent ticketing systems. Personal Attributes • Technically curious, proactive, and solutions oriented., • Confident engaging with technical and business stakeholders alike., • Comfortable balancing hands-on technical work with structured project delivery., • Strong organisational and time-management skills with a focus on quality and outcomes. Why Join Us • Be part of a forward-thinking technology function driving innovation and digital transformation., • Work on diverse infrastructure and security projects with tangible business impact., • Opportunities for ongoing professional development and certification., • Supportive and collaborative environment where technical excellence is valued.