526 to 550 of 1,357 Machine Learning Jobs in the UK

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

cost control Partner with senior stakeholders to prioritise and deliver measurable outcomes What they’re looking for 6+ years’ experience delivering production AI/ML systems Strong Python and SQL Proven hands-on GenAI experience (LLMs/RAG; LangChain/LlamaIndex/LangGraph-style tooling preferred) A track record ...

helps users and customers get the most out of Nono. What We're Looking For AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus. Rust and Python proficiency. ...

load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

This role is ideal for someone early in their career who’s excited by data, passionate about sustainability, and eager to apply analytics and machine learning to help drive the energy transition. You’ll sit within a collaborative data and analytics function, contributing to projects focused on energy … insights, reporting, and optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment. 🔍 In this role, you’ll: 📈 Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services ...

summary The postholder will contribute to the development, validation and implementation of Artificial Intelligence and Machine Learning methodologies to enhance genomic data analysis and interpretation in a clinical setting. Working within … Translational Research and Bioinformatics team, the Research Bioinformatician will support translational research, optimise data pipelines for high-throughput sequencing, and integrate AI/ML approaches into clinical workflows. The role involves close collaboration with clinicians, scientists, data engineers and external partners to ensure research outputs are robust, reproducible and clinically ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers … checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering ...

grade AI agents with real commercial impact? Have you taken LLM systems from prototype to secure, scalable production? Are you ready to shape the ML foundations of an AI-first insurer? A digitally-led UK specialist insuretech (200–300 employees) is undergoing a major AI transformation following recent refinancing … Engineer role focused on making AI capability production-ready, scalable and stable. You’ll lead the engineering of AI agents, influence architecture and define ML engineering standards across the platform. Key Responsibilities • Build and operate production-grade LLM-powered agents on GCP • Design and scale robust RAG pipelines (ingestion, chunking ...

Market Data teams to deliver robust, compliant technology solutions Implement automated testing frameworks and integrate them into development workflows Explore and apply AI/ML-driven innovations to improve system performance and risk analysis Work effectively with global teams across multiple locations Key Requirements Strong hands-on experience in software … Familiarity with scripting languages such as PowerShell or Python Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) Exposure to AI, machine learning, or data-driven development is advantageous Excellent communication, analytical, and problem-solving skills Self-driven, reliable, and able to deliver high-quality ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

make change stick. The business has a strong track record across complex, high-stakes environments, and is now scaling its DS capability to deliver ML, GenAI and simulation solutions end-to-end. For high performers, there’s clear progression and the chance to shape the direction of a growing … hiring at Lead (3-5 years of experience) to Principal level (5-10+ years of experience). Key Responsibilities Build and deploy machine learning models and simulation tooling in secure environments Lead technical delivery across multi-disciplinary teams, including consultants and engineers Work closely with client stakeholders ...

/ML Engineer – Consumer Analytics We are seeking an AI/ML Engineer with a strong statistical background and hands-on experience in signal engineering and interpretation to support next best offer (NBO) and personalization use cases in the consumer industry. The role focuses on translating complex customer signals into … alignment with business and regulatory expectations Required Skills & Experience Strong foundation in statistics, probability, and experimental design Hands-on experience in AI/ML model development (e.g., classification, propensity, uplift, recommendation models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python ...

into engineering workflows, monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirement: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience ...

platforms Multi-agent architectures Responsible AI, AI ethics or guardrail design Agile/Scrum environments This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms. Apply ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Group Policy. And become Familiar with Imperva WAF/DDoS, Menlo, Cisco security, KnowBe4, Digicert, patching tools, web application scanners, and Kali Linux, AI, Machine Learning You could gain: Security certifications (CISM, MS Security, OSCP preferred). Financial services/SOC/pentesting background desirable. Strong communication ...

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 ...

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 ...