East London, London, United Kingdom Hybrid / WFH Options
Be Technology
Job Title : Senior AI/ML Engineer Location: London/Cambridge (hybrid) Salary : £90-120k About Us: I'm currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions … MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machinelearning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with Python with strong coding … skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply more »
East London, London, United Kingdom Hybrid / WFH Options
Be Technology
In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machinelearning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of … clean, efficient code in Python for various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machinelearning initiatives. Develop the AI coordination layer to power millions of agents. Optimise system performance and resource utilisation to meet scalability and efficiency … required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, MachineLearning, LLM BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, MachineLearning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in MachineLearning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, MachineLearning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machinelearning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational MachineLearning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
The job at a glance Join our team and youll be responsible for driving projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve large language models and demonstrate the capabilities … it work for everybody. Your responsibilities: Enable the AI Labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand current AI products, identify new opportunities, and drive their implementation. Design experiments & deployment solutions in the realm of AI … systems. Drive initiatives in the AI Labs teams to advance current ML workflows and software development standards. Develop talent in the AI labs team through learning & development as well as recruiting. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in working with DevOps more »