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Lead AWS DevOps Technical Consultant designing secure AWS cloud infrastructure, building CI/CD pipelines, and developing Infrastructure as Code (Terraform, Docker, Kubernetes) while leading technical delivery and mentoring engineers at a technology consultancy.
Build a new tokenization platform from scratch for a global financial institution, shaping design and solving technical challenges in a fast-paced London-based environment using Java.
Full-Stack Java Engineer contributing to architecture, production code, design workshops, and agile ceremonies for a modern scalable platform using Java/Spring, microservices, Kafka, and React, hybrid in Lancaster.
Junior QA/automation engineer supporting public-sector software projects by writing/test scripts (Selenium/Cucumber), collaborating with devs, and improving software reliability through CI/CD integration.
Senior UX consultant and React developer specializing in Pega platforms, designing and building scalable digital experiences by blending UX strategy with hands-on front-end development using React and Pega Constellation.
Software Developer in Test at an AI enablement consultancy, designing and implementing automation frameworks and testing solutions for clients across industries using Java/C#/TypeScript/JavaScript and tools like Playwright, Selenium, Cypress, or RestAssured.
Software Developer at a technical consultancy in Newcastle, designing and building scalable applications using Python, Java, React, Rust, C#/.NET across Azure and AWS cloud platforms.
An Intermediate Full Stack Kotlin Developer builds and delivers digital solutions for public/private sector clients, combining strategy, design, and technology. Core work includes developing user-centred software, collaborating on agile teams, and ensuring scalable, secure systems using Kotlin, Spring Boot, and cloud platforms.
Design, test, and refine LLM prompts and AI interaction patterns, applying PromptOps practices and collaborating with product/engineering teams to ensure safe, accurate outputs for enterprise and public-sector clients.
Hands-on Solutions Architect/Technical Lead owning end-to-end architecture of an AI-assisted payment-integrity platform for federal agencies, including AI document processing, a rules engine, and human-review workflows—all built on AWS.
Data Analyst validates and improves data quality for a global marketing analytics platform that processes billions of TV viewing events, using SQL, Python, and statistical analysis to ensure accurate audience insights and business metrics.
The NBD Designer creates visual assets, presentations, and marketing materials to support new business development efforts. The role requires proficiency in Adobe Creative Suite and Microsoft PowerPoint to produce high-quality print and digital design solutions.
Review mapping data for digital map applications—verify business names, hours, routes, and distances—to improve navigation accuracy. Part-time, flexible schedule (10–20 hrs/week) using search engines and map tools.
Senior Data & AI / MLOps Engineer responsible for industrializing and deploying ML models, LLMs/AI agents, and data pipelines into production within the financial sector, using Python, PySpark, AWS, Docker, Kubernetes, and MLflow.
Senior Data Engineer builds and integrates Python/FastAPI-based data platforms to enable internal teams' access to structured datasets, focusing on scalable, maintainable data solutions.
Work on scalable data solutions, cloud architectures, and Generative AI, focusing on transforming data into business value and operating in production environments.
Builds and maintains ETL pipelines with Oracle Data Integrator (ODI) and develops OBIEE dashboards for European public organizations, ensuring data consistency and supporting end-user analysis.
Data Engineer building and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, designing Data Lakehouse architectures primarily on Azure Cloud for a consulting firm serving diverse sectors.
Data Engineer building AWS-based data solutions for client projects, focusing on data ingestion, batch/streaming processing, and pipeline orchestration using Python, Spark/PySpark, SQL, Airflow, and a broad set of AWS services.
This Data Engineer role involves designing and maintaining scalable data pipelines and processing solutions within the Google Cloud Platform ecosystem. The position requires advanced Python skills and experience with GCP tools to build robust, high-quality data architectures.
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