8 of 8 Remote/Hybrid Feature Engineering Jobs in London

Onsite) Contract Duration: 12 Months We are looking for an experienced ML Engineer/Senior ML Engineer with strong expertise in Azure, Machine Learning Engineering, LLMs, and Generative AI to join a growing AI engineering team. The role involves designing, developing, deploying, and maintaining enterprise-scale AI/… infrastructure, and scalable cloud-based ML systems . Required Skills Strong experience with Azure/Azure ML Hands-on experience in Machine Learning Engineering (MLE) Expertise in LLMs (Large Language Models) Experience in Generative AI Strong Python and SQL skills Experience with Docker & Kubernetes Knowledge of CI/ ...

making across complex digital transformation programmes. With access to cutting edge AI frameworks, high performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end to end AI ecosystems-accelerating … more intelligent, AI enabled future. Key Responsibilities Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback ...

Connect to your Industry Deloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client’s lead and win through the transition to a low‐carbon, digitally enabled, prosperous, equitable and resilient economy. We take work … transformative AI and Generative AI strategies aligned with business goals. Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale. Oversee the development and operationalisation of state-of-the-art AI models, including large ...

capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines. Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms. End-to-End MLOps: Own the lifecycle—from CI/CD automation … every system is trustworthy, fair, and explainable, implementing quantifiable metrics for bias detection and regulatory compliance. Technical Toolkit Models: LLMs, Generative AI, Agentic workflows. Engineering: PEFT, Vector Databases (Pinecone/Milvus/Weaviate), Prompt Engineering. Ops: Docker, Kubernetes, CI/CD, Experiment Tracking (MLflow/W&B). Data ...

governance frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development of AI solutions from concept through deployment and ongoing improvement. Create and maintain comprehensive technical … documentation. Communicate complex AI concepts clearly to stakeholders at all levels. What you'll bring: Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance ...

problem definition through to deployment in live environments. * Design, build, and deploy machine learning models within Pega-based decisioning platforms. * Lead model development across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational decision workflows. * Develop statistical ...

Government (Grade 7 equivalent), or a highly regulated industry . Essential Experience: End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment. Python Mastery: Expert-level Python skills with a focus on code structure, testing, and version control. Governance: A deep commitment ...

Python, deep learning, and MLOps, along with strong communication and problem-solving skills. The successful candidate will guide complex ML projects and support feature engineering while collaborating with talented teams to deliver scalable solutions that meet business needs. #J-18808-Ljbffr ...