51 to 58 of 58 Data Engineering Jobs in Slough

Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You'll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. … Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). ...

owned companies through contract-based development. Following a successful funding round and with a seven-figure contract backlog in place, we are expanding our engineering team. This is an opportunity to join early, gain exposure to cutting-edge systems, and progress rapidly into leadership roles. Role Overview … distributed inference. · Exposure to containerisation and cloud environments (AWS/DO). · Projects or open-source contributions demonstrating capability and initiative. · Experience in data engineering, cybersecurity, prediction systems or financial systems. · Ability to own the delivery pipeline from idea conception to delivery of product. What We Offer · Competitive ...

Role Join a pioneering team that's redefining how AI and cloud-native platforms power front-office trading. We're hiring a hands-on engineering leader to shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. … This is not just another engineering role. You'll work side-by-side with front-office traders and quants, creating bespoke GenAI tools that directly impact trading performance. If you're passionate about building something unique, ahead of the curve, and never done before, this is your chance ...

will also mentor junior engineers who are already in place, giving you a clear leadership path. The work involves varied challenges across research, applied engineering and production deployment, with an environment that supports autonomy and technical depth. Our client builds data-driven products that rely on large volumes … implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop ...

Engineer – Rapidly Growing AI Company I'm partnered with a fast-growing AI company that is scaling its engineering team and looking for AI Engineers who want to build next-generation intelligent systems used by major enterprises across the world. This is an outstanding opportunity for someone who loves … product teams to iterate quickly and deliver meaningful outcomes What They're Looking For We're speaking to engineers who have: Essential Strong software engineering fundamentals (SDLC, testing, modern frameworks) Hands-on experience taking code from dev → production in cloud environments Interest or experience in agentic systems (chat interfaces ...

team builds the core risk and PnL infrastructure that supports multi-asset systematic and discretionary trading. This role sits at the intersection of engineering, quantitative research, and trading—ideal for someone who enjoys solving complex technical problems in a fast-paced front-office environment. Responsibilities Build and enhance software … office or middle-office environment. Ability to translate trading/risk requirements into clean technical specifications. Familiarity with databases, APIs, microservices, and large-scale data processing. Strong communication skills, able to partner effectively with both technical and trading teams. Exposure to cloud environments and modern data engineering ...

trading across venues and instruments. Collaborate on real-time risk, monitoring, and control infrastructure. Qualifications Education Postgraduate degree in Mathematics, Computer Science, Physics, or Engineering from a top university. Experience & Domain Knowledge 2–5 years of experience owning the full lifecycle of a trading strategy: idea generation → research → modelling … microstructure, liquidity, and order-book dynamics. Experience in an HFT, proprietary trading, or systematic trading environment. Technical Skills Strong Python skills for research, modelling, data engineering, and production workflows. Applied ML/DL experience in real-time time-series prediction and feature engineering. Ability to write clean, reliable ...

from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi … delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment. Integrations & automation, including API workflows, tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering ...