14 of 14 Machine Learning Jobs in Avon

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

autonomous vehicles. As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine … weekly travel to collaborate with the team Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business. Own service performance and continuous improvement, ensuring ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Package: £26,000 to £28,000 basic + uncapped commission (Year 1 OTE: £40,000) Company overview: Specialist AI and Machine Learning recruitment firm placing into UK and European tech scale-ups. Established team of 20, generating £3.5m revenue with average fees of £18k. Why join? • Commission … Year 3 £65k • Early exposure to CTOs and Heads of AI • Opportunity to specialise in a fast-evolving market The role: • Recruiting Machine Learning Engineers and Data Scientists • Headhunting talent from leading tech firms and research teams • Managing full recruitment lifecycle • Building relationships with AI leaders and hiring ...

/ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI/ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training … machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: Build and scale GPU-based training infrastructure for large ML workloads Develop robust data pipelines for multi-modal datasets Own experiment tracking, model versioning, and reproducibility Design and optimise model deployment pipelines (including edge inference ...

environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering ...

Python, Node.js, C++). • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards. • Contribute … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

optimisation , often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies. What You'll Be Doing Building optimisation models and ML solutions to support decision-making Applying techniques such as mixed integer programming, simulation and advanced analytics Developing production-ready pipelines and models Working directly with … deliver value Delivering projects in an Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

Senior Robot Learning Engineer – Large Behaviour Models Bristol (On-site) Competitive Salary Full-time, Permanent We are working with a cutting-edge robotics company developing advanced humanoid systems for real-world manipulation tasks. They are seeking a Senior Robot Learning Engineer to lead the development of large behaviour … transfer workflows Collaborate across perception, MLOps, and robotics teams Contribute to research direction and publish at top-tier venues Requirements MSc/PhD in ML, Robotics, Computer Science or similar Strong experience in robot learning for real-world systems Expertise in at least two of: Behaviour cloning Diffusion models ...

Head of Data & Analytics, you will design, develop and maintain secure, high-quality data pipelines that enable trusted reporting, analytics, and future AI/ML development. This is a rare opportunity to influence architecture, engineering standards, automation and governance within a co-managed delivery model. You will work across structured … including: 34 days annual leave (including public holidays) Access to earned pay before payday Company pension scheme Generous occupational maternity/paternity pay Ongoing learning and development opportunities Health Cash Plan after probation (covering dental, optical, therapies, maternity/paternity, prescriptions and more) Opportunities for career progression ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Bath (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 ...