Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative insights and products.
This role involves developing and implementing computational workflows for integrating and analysing multi-omics data, designing statistical models, and collaborating with ML modellers and experimental teams to drive transformative insights in drug discovery. The position is embedded within the Single Cell and Spatial Omics team, offering a unique opportunity to work on cutting-edge projects with a focus on patient impact.
About RelationRelation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly...
As a Senior Back End Engineer at Thought Machine, you will lead the development of the Vault product, focusing on designing and implementing scalable microservices. You will work closely with other engineering teams, manage deployments, and translate customer requirements into actionable tickets. The role involves a fast-paced environment with a strong emphasis on code quality and best practices.
As a Senior Site Reliability Engineer, you will be responsible for maintaining and improving the robust production infrastructure that powers Thought Machine's Core Banking and Payments platforms. You will work closely with product engineering teams to build highly fault-tolerant, scalable applications, execute disaster recovery and capacity planning, and drive the evolution of SaaS products to ensure exceptional reliability and user experience.
In this role, you will design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. You will develop core services and APIs, architect scalable distributed systems, and optimize backend performance for latency, throughput, and cost.
The role involves designing, developing, and implementing advanced analytics and machine learning models to solve complex business problems. Responsibilities include collaborating with technology teams, ensuring model accuracy and stability, and providing ongoing support for analytics solutions. The position also requires managing a large team, influencing strategic initiatives, and ensuring compliance with regulatory requirements.
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
This role involves hands-on data science work, contributing to the design, analysis, and build of data science solutions for real business problems. You will work on multiple projects, collaborate with engineers and analysts, and focus on production-focused initiatives with tangible impact.
As a Data Scientist, you will work on developing and deploying machine learning models to optimize business operations in the retail industry. You'll collaborate with engineers, experiment with innovative solutions, and communicate insights to non-technical stakeholders.
As an AI/ML Engineer, you will work on complex and novel research projects, delivering innovative solutions to challenging problems. Your role involves hands-on technical expertise in AI/ML disciplines like computer vision, reinforcement learning, and NLP, while leading teams and collaborating with customers in a high-technology defence consultancy.
The DevSecOps Engineer will join the Defence Information Advantage team to drive best practices in SDLC and deployment automation. Responsibilities include coaching team members, implementing CI/CD pipelines, ensuring security by design, and supporting operational systems in a collaborative environment.
This role involves designing, building, and deploying end-to-end AI/ML and Generative AI solutions for production environments. Key responsibilities include working on Agentic AI solutions, RAG pipelines, LLM integrations, and cloud-native AI architecture, collaborating closely with engineering, data, and business stakeholders.
