Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
The AI Engineer will work within a Product squad to design, build, and deliver GenAI and Agentic AI products. Responsibilities include developing production-grade solutions using LLMs, RAG, and agentic workflow technologies, with a focus on reliability, security, and maintainability.
This role involves researching, developing, and evaluating advanced image processing and computer vision algorithms for defence applications. You will apply AI and machine learning techniques to complex imaging challenges, work with mathematical models, and collaborate with specialists from various engineering disciplines.
This role involves designing and implementing backend security guardrails for Generative AI workflows, building and deploying enterprise-level GenAI and ML solutions, and integrating user interfaces. The position also includes working with cloud infrastructure and maintaining production applications.
This role involves researching, developing, and evaluating advanced image processing and computer vision algorithms. You will work on complex engineering problems using AI, deep learning, and signal processing techniques, collaborating with multidisciplinary teams to turn innovative research into practical solutions.
The role involves designing and building AI systems using LLMs, RAG, and related technologies, while working closely with research and engineering teams. Responsibilities include developing and maintaining high-quality production software, architecting microservice-based systems, and providing technical guidance to junior engineers.
The role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.
This role involves designing, developing, and deploying AI/ML applications using Python, PyTorch, and GCP. You will build and integrate generative AI solutions, containerize and serve machine learning models, and implement CI/CD pipelines and model monitoring. Collaboration with engineering teams and stakeholders is key.
The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to drive business strategies. You will work in a hybrid capacity, supporting data pipelines and staying current with industry trends.
AI Technical LeadMy client is a leading technology organisation on an exciting opportunity for an AI Technical Lead to define the technical strategy and architecture for AI-enabled Fixed Network solutions, leading the delivery of Generative AI, Agentic AI, and network...
This role involves developing and integrating AI models for machine vision applications, focusing on software development, model training, and performance optimization. You will work with C++, C#, Python, and machine learning frameworks to create reliable and efficient solutions.
This role involves designing, building, and enhancing a secure, scalable Databricks data platform, developing data pipelines, and contributing to platform architecture and best practices. You will work closely with Product, Analytics, and Data Science teams to deliver effective data solutions and support platform operations.
This role involves building AI and modelling products for M&A and advisory deals, working closely with senior bankers to translate their requirements into practical solutions. Responsibilities include developing generative AI, NLP, and statistical models, and delivering production-quality Python code.
This role involves hands-on development of AI-powered solutions for cyber security operations, focusing on prototyping, experimentation, and proof-of-concept development. You will work closely with an AI Solution Architect and Business Analyst to translate cyber use cases into secure and viable AI solutions, using technologies like OpenAI, LLMs, and RAG.
This role involves hands-on engineering and research into the security and behavior of Large Language Models, exploring how information is processed and whether models present risks in secure environments. You will work on practical experiments, turning academic research into real-world applications, primarily using Python.
