576 to 600 of 2,058 Machine Learning Jobs in the UK excluding London

deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise AI coding ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real‐time systems, large‐scale data) Exposure to integrating machine learning, generative AI, or LLM‐based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

investment in AI, including Azure AI Foundry and other Microsoft AI technologies. This isnt an AI Engineering role and you dont need deep ML experience. Practical exposure is enough to start the conversation - perhaps using Copilot or another LLM to support development, validate code, improve documentation, investigate problems or experiment ...

resiliency, and security Overall knowledge of the Software Development Life Cycle Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

scaleExpertise in Python and/or PySparkAdvanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced ...

Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for Proven experience delivering ML projects from concept to deployment. ...

seeking a Data Science/ML Engineer to help build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows. Candidates should be strong in Python … ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a #J-18808-Ljbffr ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … controls. Keeping technical documentation, data lineage and platform standards in good order. Helping shape where the platform goes next, including future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft ...

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for Financial Services clients. You will bring ML from lab to production, contributing to scalable software architecture and best-practice deployment. You will work with clients and cross-functional teams to ensure feasibility, timely delivery … high-quality, production-grade ML systems. Ideal candidates have hands-on experience with Python and ML frameworks, cloud platforms, and container orchestration. #J-18808-Ljbffr ...

services organisation, is recruiting a Machine Learning Engineer for a hybrid role. You will contribute to a cross-functional data team, taking ML models from research to production and delivering scalable AI solutions. The role emphasizes designing end-to-end ML workflows, CI/CD, IaC, and collaboration … with Data Scientists, Data Engineers and Software Engineers to deploy robust ML systems in a cloud environment. #J-18808-Ljbffr ...

First Central Services UK Ltd seeks a Lead Machine Learning & AI Engineer to drive production-ready ML/AI capabilities within the Data & Analytics function. You will coach a small team of ML Ops Engineers and AI engineers while collaborating with data science, pricing, and software teams. ...

hiring a Machine Learning Engineer in a hybrid UK-based role. You will join a cross-functional Data Science team to take ML models from research to production, collaborating with Data Scientists, Data Engineers and Software Engineers to build scalable AI solutions. The role emphasises software engineering, cloud … technologies, and productionising ML in an enterprise setting, with responsibilities spanning end-to-end ML workflows, #J-18808-Ljbffr ...

operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data applications … with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment.* **Containerisation and Kubernetes** Confidence deploying applications in containerised environments, including defining services ...

will help shape the organisation's data and AI strategy, enabling everything from enterprise reporting and advanced analytics to cutting-edge AI and machine learning solutions. Key Responsibilities Design and build scalable, cloud-based data platforms and architectures. Translate business requirements into robust, scalable data solutions. Develop conceptual … more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … related field, or equivalent experience. Desired Skills Ability to write code or scripts (e.g., Python) to build automation directly. Experience building AI/ML‐powered or agentic applications, and with API integrations, CI/CD pipelines, or deploying production‐grade services. Technical background in systems administration, software engineering, cloud security ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values ...

Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital ...