14 of 14 Contract Machine Learning Jobs in the City of London

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

Cloud/AI/ML/Transformation/Agile Role: Project Manager (Contract) - AI/Machine Learning Programme Day Rate: Up to 585 a day (Inside IR35) Contract Length: Until March 2027 (extension likely) Location: Hybrid - 2-3 days per week onsite (London) Start: ASAP Overview … looking for an experienced Project Manager to support the delivery of a machine learning proof-of-concept within a large-scale operational environment. This is a high-impact role focused on stakeholder coordination, system integration, and delivery of AI-driven insights, with strong potential to expand into broader ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients … agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

technical breadth and depth and great client engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications If you receive suspicious outreach claiming to be from ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value click apply for full job details ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...