401 to 425 of 1,239 Machine Learning Jobs in the UK

data scientists, engineers, and educators to deliver scalable and reliable AI systems. Develop and maintain a reusable AI platform supporting functions such as admissions, learning support, student wellbeing, research administration, and operational analytics. Ensure robust system architecture, integration processes, monitoring, and operational excellence for production AI solutions. Responsible … analytics initiatives. Proven track record of taking AI solutions from development to production in large or complex organisations. Hands-on expertise in AI and machine learning technologies such as natural language processing, generative AI, retrieval augmented generation (RAG), and MLOps. Experience with cloud platforms, preferably Microsoft Azure. Strong ...

requests, build meta-prompt engines for regulatory compliance, and architect RAG systems with <100ms query times A collaborator : Work alongside founders and engineers shipping ML infrastructure that directly impacts thousands of financial advisors An innovator : Push boundaries with model fine-tuning, advanced prompt engineering, and MLOps infrastructure for mission-critical … looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset. Strong Python development with production ML/LLM systems Experience deploying and monitoring LLMs at scale Deep understanding of prompt engineering, RAG architectures, and LLM evaluation Comfortable with AWS/ ...

HTML, CSS, and JavaScript, with additional experience in frameworks such as React being beneficial.• Data Science: Experience with data analysis tools and techniques, machine learning, and AI would be a plus.• Creative computing: an ability to teach games-based topics, as well as creative aspects of digital production … concept art, 3D modelling, etc.).• Project Management: Demonstrated experience in leading projects or programmes, with the ability to mentor students in project-based learning environments. Qualifications:• Minimum of HND in a relevant Computing discipline, or/and relevant industry standard qualifications and experience.• Ideally, possession of a recognised ...

technical leader in the Platform Team , focusing on hands-on development, architecture, and mentorship . You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics , building features for the Data Science team and launching new ML models . This role is not about people management … code, and driving innovation . Specifically, you can expect to be involved in the following: Technical tasks: Improving real-time traffic tracking , deploying new ML models , and optimizing big data pipelines . Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE ...

autonomy. Responsibilities Modelling and Forecasting Develop time‐series models for generation, consumption, and market price forecasting. Build probabilistic and scenario‐based forecasting capabilities. Apply machine learning to optimise matching, pairing, and routing algorithms within the P2P marketplace. Trading and Optimisation Intelligence Create algorithms that optimise buyer–seller matching … recommendations. Nice to Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

discovery of new opportunities, turning problems statements into business outcome driven technical proposals. Solve problems using creative approaches and emerging technologies. Be comfortable learning, and becoming a subject matter expert within, an assigned business domain. Collaborate with Enterprise Architects, Integration Architects and Cloud Architects to build coherent systems within … technologies: JavaScript, React, C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework ...

delivering the Digital Support Technician apprenticeship ensuring learners gain core digital support competencies such as troubleshooting, system configuration, and user support. This includes contextualising learning to real workplace scenarios, helping apprentices build confidence in both traditional IT support and emerging AI-enhanced workflows. By embedding AI technologies like Microsoft … automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. ...

Excellent communication and documentation skills. Preferred Qualifications Awareness or experience with financial concepts , especially in banking or cash management. Experience supporting predictive analytics or machine learning workflows . Knowledge of data governance, security, and compliance in financial services. ...

Excellent communication and documentation skills. Preferred Qualifications Awareness or experience with financial concepts , especially in banking or cash management. Experience supporting predictive analytics or machine learning workflows . Knowledge of data governance, security, and compliance in financial services. ...

driven platform used by enterprise customers. You will set technical direction and guide architecture across distributed systems, large-scale data processing (Scala, Spark, Databricks), machine learning pipelines, and cloud-native infrastructure on AWS. A core focus is driving high-quality execution through strong engineering practices including CI/ ...

teams (10–15 people), with the ability to build high-performing, collaborative cultures Strong expertise in Artificial Intelligence and Advanced Analytics, including Machine Learning and Generative AI/LLMs Experience taking AI solutions from proof-of-concept to production-scale deployment Deep knowledge of Business Intelligence, reporting ...

processes (such as DBT), SQL, NoSQL databases is added advantage. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable ...

processes (such as DBT), SQL, NoSQL databases is added advantage. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable ...

opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing ·Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use ·Writing clear, well-structured Python, PySpark, and SQL to transform and validate ...

senior IC role focused on building and optimising distributed data pipelines that power pricing, forecasting and billing calculations at scale. - This is not an ML/Data Science/GenAI role What you’ll be doing Design, build and deploy algorithms/data models supporting pricing, forecasting and optimisation ...

agile/lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/ ...

someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop ...

desirable). Strong cloud solution architect expertise, knowledge of networking and security. Experience designing and building scalable, resilient cloud solutions in data, AI/ML applications. Proven experience with data warehousing, data lakes, distributed data processing, and data pipelines. Familiarity with automation tools and DevOps practices (CI/CD, infrastructure ...

Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance and cataloging tools Experience supporting ML or advanced analytics workloads What We're Looking For Strong problem-solving and analytical mindset Ability to work independently and as part of a cross ...

Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms Experience using UML/SysML Security Requirements Due to the nature of the work: Candidates must hold active SC clearance ...

dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers. Responsibilities Contribute to our data engineering roadmap. Collaborate with senior data engineers on data architecture plans. Managing Kafka in production Collaborating with cross ...

related field (or equivalent experience). 5+ years of professional software engineering experience, with at least 2 years focused on AI/ML systems or agentic architectures. Proven hands-on experience testing and working with similar AI platforms (e.g., agent-based systems like LangChain agents, AutoGPT, or custom LLM orchestration ...

including prompt engineering and fine-tuning LLMs in a commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Exposure to LLMOps, model monitoring ...

Senior Data Engineer (Python/ML) - Contract Client: GSK (Global Pharmaceutical Company) Contract: 6 Months | IR35: Inside Location: The Stanley Building (ULP) - Onsite 2-3 days per week Overview GSK is seeking a Senior Data Engineer with ML exposure to support cloud-based, data-driven initiatives. The role focuses … building scalable data pipelines, managing large datasets, and enabling ML workflows within an enterprise environment. Key Responsibilities Build and maintain scalable Python-based data pipelines Manage object/blob storage for structured and unstructured data Support ML workflows (data loading, dataset management) Work with BigQuery and SQL databases Optimise memory ...

with highly successful entrepreneurs every day. There are no layers, no hand-offs, and no slow approvals. The intensity is intentional—it’s about learning faster, shipping faster, and taking ownership much earlier than most roles allow. On the work itself: you’ll own large parts of the agentic … Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Engineering, Science etc. 4+ years in AI/ML engineering with a foundation in software engineering OR a recent move from pure software engineering into Agentic AI. Hands-on experience building and deploying ...