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AWTG Ltd
London Area, United Kingdom
We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training : Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neural networks on servers, ensuring optimal performance and scalab
Job Source: AWTG LtdSpinks
London
Machine Learning Engineer - Contract - Outside IR35 Spinks have partnered with an early, stage VC-Backed Healthcare start-up who are seeking an experienced ML Engineer to join them on an initial 3 month basis as they build out their team. Skills we're looking for: Prior proven experience in an ML Engineer role, especially using LLMs. Experience
Job Source: SpinksMaclean Moore Ltd
GB
Company Overview: Join a pioneering leader in software development based in London, driving innovation and excellence in machine learning (ML) and artificial intelligence (AI). They are committed to pushing the boundaries of technology and leveraging the power of Google Cloud Platform (GCP) to deliver cutting-edge solutions. As an ML Ops Engineer
Job Source: Maclean Moore LtdSYNC Talent Solutions
London Area, United Kingdom
We are seeking Software Engineers who have strong experience with LLMs and Prompting Engineering. This role is also a Founding role and you will be part of the first members, of a growing vibrant new startup, in the heart of London!! (Share Options available) Are you prepared to embark on an unparalleled journey in the domain of Artificial Intelli
Job Source: SYNC Talent SolutionsJABS Medtech
London Area, United Kingdom
We are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying models on multiple GPUs, scaling, load balancing, and managing data pipelines. This role
Job Source: JABS MedtechFractile
London Area, United Kingdom
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster on a single chip. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for a Principal ML Compiler Engineer with demonstrated expert
Job Source: FractileFractile
London Area, United Kingdom
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience of mach
Job Source: FractileIC Resources
greater london, england, United Kingdom
ML/LLVM Compiler Engineer Exciting Blockchain Compiler Role / Remote working / Token equity on offer! An ML/LLVM Compiler Engineer is required to join an exciting ML powered Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning
Job Source: IC ResourcesLondon Area, United Kingdom
STAFF ML ENGINEER - London/Warsaw/Berlin/Dusseldorf
Our client is looking for a skilled Staff ML Engineer to join their team in a number of locations across Europe from the UK, Germany and Poland!
As a Staff ML Engineer, you will work closely together with 2 teams of data scientists & machine learning engineer and will help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions.
Work closely with our dynamic teams to enhance existing AI systems and craft innovative solutions!
Daily Tasks:
Collaborate with AI labs, Data, Infrastructure, and Platform teams to deploy ML-based services using AWS Sagemaker and other cloud solutions.
Analyze and improve current AWS setups for data scientists & MLEs.
Design infrastructure to facilitate experimentation & deployment of AI systems.
Advance ML workflows and software development standards within AI Labs teams.
Qualifications:
Industry experience in AWS ML services, including Sagemaker.
Expertise in DevOps, Cloud Operations, and ML-engineering.
High proficiency with Docker, Terraform, CI/CD (Atlassian Bamboo).
Ambition to shape our ML-based services and enhance efficiency.
Good communication skills in English.
Experience with model management tools (e.g., mlflow) and MLOps.
Nice-to-Haves:
Experience with Kafka and Vector Databases.
Experience in deploying large language models (LLMs) at scale.
If you are interested in this position, feel free to send over your most up to date resume and we will be in touch to discuss further!
Staff ML Engineer jobs in London Area, United Kingdom
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