8 of 8 Feature Engineering Jobs in the UK excluding London

across the business. They are looking for a Senior AI Engineer to lead the delivery of end-to-end AI products, working across software engineering, machine learning, and LLM-based systems. This is a hands-on role focused on shipping real solutions into production that directly impact customers, teams … commercial outcomes. The RoleYou will join a cross-functional AI function working at the intersection of software engineering, data, and machine learning. Your focus will be on turning business problems into production-ready AI systems, from early discovery through to deployment, monitoring, and continuous improvement. You will work closely ...

adapted across multiple operational entities globally. Key Responsibilities Design and implement predictive and prescriptive models to optimize MRO operations. Perform exploratory data analysis, feature engineering, and model validation. Collaborate with data engineering teams to ensure high-quality, production-ready datasets. Communicate findings and recommendations to senior business ...

operational use, including synthetic data generation. Build and productionise ML/NLP solutions for legal and business use cases to enable better decision making. Feature Engineering & Integration : Develop new features, integrate data from internal/external sources, and create unified views to enhance performance and outcomes. Pipeline Development ...

cloud and on-prem data platforms , automation, and emerging AI-driven capabilities, and is specifically suited to candidates with strong, hands-on data engineering experience , particularly in building, operating, and optimising complex data pipelines, data models, and integration workflows at scale. Role Overview and Responsibilities As a Data & Automation … delivery processes using technologies such as Azure Data Factory, Databricks, SSIS, and SQL . Reducing manual interventions through automation and standardisation , including data preparation, feature engineering, and training-data pipelines. Preparing data models and datasets (DWH/Lakehouse) to support business intelligence, analytics, and operational reporting. Monitoring ...

optimisation project. You will design and implement predictive and prescriptive models for Maintenance, Repair, Overhaul AI Solutions. Performing exploratory data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modelling. Communicate findings and recommendations to business stakeholders. Continuously improve models based on feedback and operational ...

proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product Team Define and monitor technical success metrics (data coverage, refresh latency … needs into technical product requirements Support rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputs Define product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team Product Launch & Performance responsibilities: Define technical success metrics (data coverage, refresh latency ...

compute performance. Deploy pipelines using CI/CD and IaC. Deliver curated datasets and semantic layers for BI, analytics, and ML. Support ML feature engineering and model delivery. Define scalable data architecture patterns and integration designs (ingestion, storage, transformation, analytics). Develop and maintain conceptual, logical, and physical … support scalability and strategic needs. Personal Requirements: 3–5+ years’ experience with Microsoft SQL Server (2016+) and SSIS in production environments. Strong SQL Server engineering: advanced T-SQL, indexing, performance tuning, execution plans, statistics, partitioning, tempdb optimisation. Proven experience with ETL/ELT development and design patterns (incremental loads ...

off. Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP). Collaborate closely with engineering and product teams to integrate ML solutions seamlessly into production. Work with modern ML frameworks and libraries such as PyTorch, TensorFlow, HuggingFace, and LLMs … models. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Demonstrated ability to work with complex real-world datasets and perform feature engineering. Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs. Excellent problem-solving skills and ability to work ...