london, south east england, united kingdom Hybrid / WFH Options
Hunter Bond
Engineering, or a related field. 2+ years of professional development experience as a Software Engineer in either C++, Python or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threaded programming and real-time systems (C++/Java) Experience writing software for massive scale … for maximum speed and efficiency, minimising latency. Implement and enhance trading algorithms in collaboration with quantitative researchers and traders. Handle large volumes of market data in real-time, ensuring accurate and fast dataingestion, processing, and storage to feed trading algorithms. If you are a talented Software More ❯
databases for high availability and performance. Oversee SAP on Azure deployments to ensure seamless integration and operation. Manage Azure Event Hub for real-time dataingestion and processing. Utilize AzureIAC-Terraform for infrastructure as code deployments. Develop and maintain PowerShell scripts for automation and management tasks. Design and … Machines for optimal performance and cost-efficiency. Provide solutions as an Azure Solution Architect to meet business requirements. Implement Azure Recovery Services Vault for data protection and disaster recovery. Lead Azure Migration Projects to ensure smooth transitions to the cloud. Manage Azure App Service for hosting web applications and More ❯
Components, Sidekiq, PostgreSQL, Redis, Serverless, AWS (Fargate, Aurora, ElastiCache), GitHub In this role, you'll get to: Design, implement and deliver software such as ingestion pipelines, API and a greenfield internal operations application. Align technical solutions with business goals that enable us to meet our goals Prioritise and organise … on tasks with loose requirements and see them through to successful completion. Nice to haves: Experience working with large datasets and building tools for dataingestion and processing. You enjoy learning new technologies and are passionate about experimenting to figure out how to build things better. We are More ❯
cybersecurity startup in London is building cutting-edge AI products that actually ship. They’re looking for a Machine Learning Engineer to turn noisy data into high-impact, production-ready intelligence, fast. 🧠 What You’ll Bring Strong Python engineering skills with experience in model-integrated systems History of deploying … ML models into real products and services Familiarity with ML infrastructure : data pipelines, training loops, APIs, cloud tools Comfort with messy, unstructured datasets and real-world signals Solid grounding in model design, evaluation, and performance tuning 🛠 What You’ll Do Design and deploy end-to-end ML systems , from … dataingestion to inference Work closely with product and engineering to ship AI-powered features Build scalable, robust pipelines and infrastructure for model training + serving Contribute to architectural decisions and help shape core product functionality ✨ Why This Role Rocks Tangible impact - building AI systems at the core More ❯
generation. What You’ll Actually Be Doing Engineering research tools in Python and C++ , built for scale and speed Designing systems to handle massive dataingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed … a systematic trading or quant research environment Fluency in Python and/or C++, with a strong engineering mindset Hands-on with distributed systems , data pipelines , or ML tooling Ability to partner with researchers without translation layers Comfortable with ownership, ambiguity, and pace More ❯
generation. What You’ll Actually Be Doing Engineering research tools in Python and C++ , built for scale and speed Designing systems to handle massive dataingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed … a systematic trading or quant research environment Fluency in Python and/or C++, with a strong engineering mindset Hands-on with distributed systems , data pipelines , or ML tooling Ability to partner with researchers without translation layers Comfortable with ownership, ambiguity, and pace More ❯
an exciting opportunity to be a key player in the expansion of our cloud environment, contributing to the development of our quantitative research platform, dataingestion pipelines, and post-trade systems. This hands-on role offers a unique chance to work with the latest cloud technologies and provides More ❯
NodeJS Developer - NodeJS Engineer - Data - TDD - AWS - 6 Months - Paying up to £650 (Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their dataingestion and modelling machine. Paying up to £650 (Inside More ❯
NodeJS Developer - NodeJS Engineer - Data - TDD - AWS - 6 Months - Paying up to £650 (Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their dataingestion and modelling machine. Paying up to £650 (Inside More ❯
Looking for a Sr. Snowflake architect with extensive experience and knowledge in DataIngestion frameworks, APIs, senior Technical and Business stakeholder management in Banking and Asset management area No sponsorship or visa-restricted candidates, please An immediate to max of 2 weeks' notice period is required More ❯
Looking for a Sr. Snowflake architect with extensive experience and knowledge in DataIngestion frameworks, APIs, senior Technical and Business stakeholder management in Banking and Asset management area No sponsorship or visa-restricted candidates, please An immediate to max of 2 weeks' notice period is required More ❯
ready to Make Your Mark at Berry? Purpose: The Automation & Industrial Networking Engineer II plays a crucial role in developing, deploying, and maintaining machine data systems and visualizations. This position works with consultants, vendors, electrical contractors, and cross-functionally with internal teams to ensure project objectives are achieved and … computer systems to contribute to the achievement of the plant's safety, quality, sustainability, and budget objectives. Develop, deploy, and maintain Ignition projects and data visualizations. Collaborate with business stakeholders and technical teams to gather requirements for data collection, dashboards, and data visualization displays. Work with OEMs … to establish and enforce communication hardware requirements for data collection and remote support. Configure communication devices as needed and work with internal resources or vendors for installation. Collaborate with IT resources and technical teams to establish internal and external equipment communication. Track and oversee IT related items such as More ❯
Increasing with length of service The Role: We are looking for an experienced SQL Database Administrator. Key Responsibilities: Support and maintain a large-scale data warehouse environment, handling high volumes of structured data. Manage and process incoming data streams from external sources (e.g. cameras and monitoring systems). … Develop and support server-side data processing workflows to ensure timely and accurate data ingestion. Collaborate with 2nd and 3rd line support teams, providing expertise on complex data-related issues. Maintain and optimise the central database infrastructure, ensuring performance, reliability, and scalability. Work closely with stakeholders to … deliver custom reports and analytics. Ensure data integrity, transformation, and storage aligns with business and regulatory requirements. Participate in long-standing, enterprise-level projects requiring consistent support and system knowledge. Troubleshoot data warehouse and integration issues and implement enhancements for improved performance and reliability. Contribute to the design More ❯
primary interface between the consultancy and the client’s Head of Engineering, ensuring strategic objectives are met while leading multi-disciplinary teams across Digital, Data, DevOps, and Cloud Engineering. The role requires a proven leader who can drive engineering excellence, reduce technical debt, and streamline delivery processes. You will … . Champion engineering best practices , promoting CI/CD, DevOps, and modern cloud-native architectures . Technical Excellence & Delivery Oversight Provide technical oversight across data pipelines, digital platforms, DevOps practices, and cloud migrations . Assess and mitigate technical debt , ensuring a balance between quick wins and long-term stability … and modernization of legacy applications , ensuring observability, performance, and security . Collaborate with Chief Engineers and engineering teams to define best practices for ETL, data integration, and cloud adoption . Ensure engineering maturity measurement through relevant KPIs such as code quality, deployment frequency, incident resolution time, and PR review More ❯
primary interface between the consultancy and the client’s Head of Engineering, ensuring strategic objectives are met while leading multi-disciplinary teams across Digital, Data, DevOps, and Cloud Engineering. The role requires a proven leader who can drive engineering excellence, reduce technical debt, and streamline delivery processes. You will … . Champion engineering best practices , promoting CI/CD, DevOps, and modern cloud-native architectures . Technical Excellence & Delivery Oversight Provide technical oversight across data pipelines, digital platforms, DevOps practices, and cloud migrations . Assess and mitigate technical debt , ensuring a balance between quick wins and long-term stability … and modernization of legacy applications , ensuring observability, performance, and security . Collaborate with Chief Engineers and engineering teams to define best practices for ETL, data integration, and cloud adoption . Ensure engineering maturity measurement through relevant KPIs such as code quality, deployment frequency, incident resolution time, and PR review More ❯
