326 to 350 of 968 Machine Learning Jobs in the UK excluding London

Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here … success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

hypothesis testing, regression, etc.) Financial services or consulting background preferred Strong analytical and problem-solving capabilities Excellent stakeholder management and communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location ...

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 ...

Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging ...

This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist, but you'll be able to demonstrate practical exposure to AI technologies ...

Certification Microsoft Purview Azure DevOps and CI/CD Manufacturing or FMCG experience ERP, WMS or MES integrations Azure AI Foundry Data Science or Machine Learning exposure Why Join Raynor Foods? This isn't just another Data Engineering role. You'll have the opportunity to: Build an enterprise ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI‐enabled development patterns ...

/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with ...

line of code, but you understand the platform end-to-end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations to a production ...

hybrid basis. This senior leadership role sits within a multidisciplinary analytics team, driving the design, delivery, and deployment of advanced analytics and machine learning solutions to support decision-making, improve performance, and enhance customer outcomes. You will lead across the full analytics lifecycle-from data exploration and modelling ...

services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science applications or financial data visualisation. What We Offer ...

research, analytical, and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively within cross‐functional teams. A proactive approach to learning new technologies and adapting to a rapidly evolving AI landscape. Key Responsibilities Over the next 18 months, the successful candidate will contribute ...

such as CCSP, CISSP, CISM, GICSP DesireDD Degree in Computer Science, Engineering, Information Systems, or a related discipline. Experience/familiarity with AI/ML platforms or infrastructure. Knowledge of edge computing, fog computing, cloud integration, and hybrid deployment models. Cloud certifications (AWS, Microsoft Azure, or Google Cloud). Familiarity ...

Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data … reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms) Pilotnew technologies(agentic AI, ML-driven quality assurance) at scale Team Leadership & Cross-Domain Coordination Recruit, mentor, and scale a 12–15 person distributed ...

Management to play a pivotal role in organising our work across product development and commercial partnerships at Qureight. We need to translate cutting-edge ML models into validated, deployable, revenue-generating solutions used in clinical trials and drug development. Reporting to the COO, this is a high-impact leadership position … will do... Own and embed the OKR framework across the company, driving alignment from leadership through to execution. Lead delivery and execution of our ML-based product suite Coordinate across ML, engineering, clinical, and commercial teams to ensure delivery against an ambitious, evolving product roadmap. Work closely and collaboratively with ...

Azure Desirable Docker and Kubernetes experience Experience with AWS, or Google Cloud Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

diagnostic skills. Desirable: Experience working within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity … Oracle Hadoop Elasticsearch Git CI/CD Pipelines AI/LLM Platforms Agile Delivery At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...

Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments. Proven experience working … project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change ...

build robust ETL/ELT pipelines and analytics-ready data solutions. Collaborate with Data Scientists and Engineers while also gaining exposure to AI and Machine Learning initiatives.**Key skills required for this role include:**- Proficiency in Databricks and experience with Medallion Architecture.- Strong programming skills in Python ...

Developer Experience with Azure cloud technologies. Knowledge of microservices and event driven architectures. Experience working within UK Public Sector environments. Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date ...

with data warehousing and ETL processes. Knowledge of cloud data platforms such as Microsoft Azure, AWS, or Google Cloud. Familiarity with predictive analytics or machine learning would be advantageous. ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...