Future Tech Jobs
Future Tech Jobs
This role involves designing and implementing data architecture using Snowflake, with a focus on data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, securing data pipelines, and optimizing Snowflake's performance and cost efficiency.
This role involves building and deploying machine learning models, including NLP-based solutions, to generate actionable insights from real-world financial data. You'll design and maintain production-ready data pipelines, apply statistical methods for model validation, and collaborate with domain experts. The position emphasizes translating complex analytical findings into clear business recommendations within a structured financial services environment.
Senior Data EngineerLondon, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday)£70,000 to 80,000 depending on experienceRef: J13073A growing AI SaaS business, where data sits at the centre of everything they build, is looking for a Senior...
This role involves building and deploying machine learning models, including NLP-based systems, to generate actionable insights from structured and unstructured data. You'll design and maintain production-ready data pipelines, apply statistical methods for model evaluation, and collaborate with domain experts to solve complex problems in financial services. The position emphasizes translating technical findings into clear business insights for diverse stakeholders.
This role involves developing and deploying AI-driven systems across the full stack, with a focus on building custom AI workflows and engines for industrial applications. The engineer will work on intelligent automation using agentic frameworks and orchestration tools, taking features from concept to production with full DevOps responsibility. The position emphasizes deep integration of AI into development practices and delivering scalable, real-world solutions.
The Global Head of Data will lead the development and execution of a global data strategy, building scalable data capabilities and driving a data-driven culture. Key responsibilities include defining data roadmaps, creating modern cloud-based platforms, and ensuring data governance and security across international business functions.
This role involves designing, developing, and maintaining end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines. The AI Engineer will work closely with data scientists, engineers, and business stakeholders to deliver scalable, secure, and impactful AI and machine learning models, while also providing technical guidance and mentorship to junior engineers.
This role involves working in a fast-paced, interdisciplinary team to build a cutting-edge ML-based software platform for drug discovery. Responsibilities include data engineering, service-oriented architecture, and collaboration with scientists and ML researchers to transform the bio-pharmaceutical industry.
As a Talent Partner at Isomorphic Labs, you will play a critical role in building world-class teams by developing and executing talent acquisition strategies. You will partner with senior leaders, source top talent, and foster an inclusive culture, contributing to the company's ambitious mission to revolutionise drug discovery through AI.
This role involves defining and evolving enterprise data management frameworks, including data governance, quality, metadata, and master data. You'll work closely with the Head of Data Management to establish scalable governance and data management practices across various domains, translating business requirements into strategic frameworks.
Data Scientist – London - HybridJob descriptionBDO Regulatory Solutions are currently recruiting for a Data Scientist to join our client, a Regulated firm, based in London.We are offering an initial 6-month contract starting in September with an excellent day rate,...
The Data Manager is responsible for establishing and operating an enterprise data management capability, ensuring data accuracy, security, and integrity. Key responsibilities include developing a data strategy, leading a team of data engineers, and collaborating with stakeholders to provide timely and accurate data insights.
This role involves owning and evolving the core data model for a carbon intelligence platform, ensuring data is treated as a strategic product. The Product Manager will lead the development of Dynamics 365 integrations, shape data-driven roadmap priorities, and work closely with customers and engineering teams to deliver scalable, AI-enhanced sustainability solutions. The position emphasizes end-to-end ownership of data flow, API capabilities, and external data partnerships within a fast-moving SaaS environment.
Leads the development and execution of the organization's enterprise data strategy, driving data governance, architecture, analytics, and AI initiatives. Manages a team of 8 to ensure data is a trusted, high-quality asset supporting decision-making, compliance, and innovation across clinical and operational domains.
This role involves developing tools to track, analyse, and manage catastrophe accumulation exposure using Python and Databricks. The developer will integrate exposure management systems with a data lake architecture to support AI-driven analytics and ensure cross-functional accessibility. Work includes handling geospatial and exposure data within a London Market insurance context.
