51 to 75 of 166 Machine Learning Jobs in the North of England

/LLM/Cloud (Enterprise Scale) We are hiring an experienced AI Architect to lead the design and governance of enterprise-grade AI/ML and Generative AI solutions across data, application and cloud infrastructure layers. This is a senior-level architecture role focused on delivering production-ready … deploy LLM solutions (GPT, BERT, Transformers) including RAG pipelines and vector databases Lead LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance and non-functional requirements ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

Azure experience beneficial) Understanding of cloud security best practices Exposure to observability tooling, MySQL, or SQL Server stack beneficial Good understanding of analytics and machine learning fundamentals Excellent written and verbal communication skills ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with ...

analytics into commercial impact Preferred Skills & Experience Experience building analytics functions from the ground up Knowledge of advanced analytics, data science, and AI/ML concepts Experience working with cloud data platforms (e.g., Azure, AWS, GCP) Strong storytelling and data visualisation skills Excellent communication, leadership, and change-management capabilities ...

Engineer role within the AWS public cloud is both dynamic and forward-looking. Alongside developing strong technical skills across AWS core services, AI/ML platforms, and cloud-native tooling, engineers learn to diagnose complex issues, analyse model and pipeline behaviour, report incidents, and clearly communicate solutions that enable data … support scalable AWS-based AI architectures that deliver seamless support for users, developers, and stakeholders. Develop a strong foundational understanding of AWS, AI/ML services, and cloud operations, supporting progression into advanced cloud, data, or machine learning engineering pathways. Create specialist AI support engineers with subject matter ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

high‐volume data processing. You will work at the heart of their next‐generation data architecture, designing distributed systems that support cutting‐edge machine learning workloads at scale. The Company They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive … learn the other as needed. • Work across big data processing, data warehousing and high‐volume SQL‐based modelling. • Contribute to the architecture underpinning ML and GPU‐backed inference workloads. • Develop resilient, cost‐efficient systems that scale as data volumes grow. • Improve the existing platform and help build new tools, pipelines ...

high-volume data processing. You will work at the heart of their next-generation data architecture, designing distributed systems that support cutting-edge machine learning workloads at scale. The Company They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive … learn the other as needed. * Work across big data processing, data warehousing and high-volume SQL-based modelling. * Contribute to the architecture underpinning ML and GPU-backed inference workloads. * Develop resilient, cost-efficient systems that scale as data volumes grow. * Improve the existing platform and help build new tools, pipelines ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. ...

secure, well-governed environments including IAM configuration, data encryption, and lineage tracking. Collaborate closely with stakeholders and product teams to ensure the platform supports ML/AI innovation. Establish Infrastructure-as-Code foundations using tools such as Terraform. You Will Have Strong experience designing data architectures within Google Cloud Platform ...

Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

similar Stakeholder managemenT Useful but not essential: Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness DAY TO DAY No two days will look the same ...

Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...