23 of 23 Machine Learning Jobs in Exeter

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Hardware Integration Lead working with high-speed ASICs and network interface cards? Are you looking to work on cutting-edge products in AI and Machine Learning? Then this might just be the role for you! We are working with a disruptive Computer Networking company who are working … cutting edge of AI and Machine learning technology with applications for increased productivity in Data Centres and HPCs. They are looking for a Technical High-Speed Hardware Integration Lead to join them in their mission to revolutionise AI systems whilst reducing energy consumption and striving for a sustainable ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring … nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure ...

tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ countries Mentor the next generation of AI researchers REQUIREMENTS: PhD in ML/AI/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

paid for. Tech Stack • .NET 8 • Azure (Functions, cloud-native services) • PostgreSQL • Next.js (separate frontend team handles this) • Playwright for E2E testing • Databricks + ML tooling • GitHub Copilot/AI-assisted development • Modern observability stack (Application Insights, telemetry, logging) You will also work on large-scale integrations with global systems ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

specialists, they're deliberately building a junior data science pipeline — bringing in smart, curious people early and training them properly. If you've been learning data science, working on projects, or trying to break into the field, this role is designed for you. What You'll Actually … role. The Good Stuff £40,000+ starting salary Genuinely insane benefits package Fully remote working (UK based) Clear progression into Data Scientist/ML roles Structured onboarding and mentoring Flexible working hours Supportive, non-corporate culture Long-term opportunity with real growth How to Apply If you're based ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

voice work Marketing, communications, or audience engagement Psychology, philosophy, or behaviour-focused disciplines STEM backgrounds with strong structure and clarity Experience with AI, ML, or data-related tasks Additional Information Flexible 20–40 hours per week Remote working Opportunities for ongoing work, bonuses, and progression Please follow the Morpheus LinkedIn ...

Define and track KPIs for adoption, automation impact, AI model usage, and user satisfaction Drive continuous improvement based on feedback, telemetry, and post-launch learning Qualifications:: Required 5+ years in product management or solution ownership in enterprise software Deep familiarity with SAP ecosystem (ECC, S/4HANA … tooling Excellent communication, prioritization, and stakeholder management skills Desirable Knowledge of SAP AI Foundation, Joule, ABAP Cloud, RAP, or Datasphere Familiarity with LLM integration, ML ops, or hyperscaler AI services Prior experience in a cloud-native SaaS environment Selected applicant will be subject to a background investigation, which will ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

application, and technology architectures Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership Partner with leaders … wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous ...

.NET Developer – .NET 10, C# 14, Blazor, Azure – Exeter (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you'll: Lead global strategy and execution across computer vision, ML, and data engineering. Scale world-class engineering and research teams across multiple regions. Oversee the design, optimization, and deployment of real-time tracking and visual intelligence … requirements: Proven background leading large computer vision or real-time data engineering teams. Expertise in object tracking, image/video processing, or large-scale ML deployment. Strong technical leadership and cross-functional delivery at global scale. Experience turning advanced R&D into production-grade systems. This is a high-visibility ...