1 to 25 of 28 Machine Learning Jobs in Bristol

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 ...

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 ...

Title: AI/ML Engineer – Data Science Location: United Kingdom (Remote/Hybrid) Eligibility: Permanent UK Citizenship required Experience: 5–7 years (Mandatory in Data Science/AI-ML) Role Overview We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine … Responsibilities - Design, build, and optimize machine learning and deep learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability ...

organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape … experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes ...

Senior Software Engineer/Agentic AI and Machine Learning Conquer AI Location: UK based, remote friendly About Us! Conquer AI is a specialist AI consultancy and software engineering firm that helps enterprises reimagine critical processes using AI. We work with FTSE 100, FTSE 250, and Fortune 500 companies … Hands on experience with agent based or multi agent AI systems Practical experience working with LLMs and SLMs in real applications Good understanding of machine learning concepts and trade offs Strong backend engineering skills and comfort owning systems end to end Experience designing systems that prioritise accuracy, explainability ...

ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews … validate emerging AI techniques What You Bring 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS/GCP/Azure with the ability to architect distributed systems ...

Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

skills Nice-to-have: Publications or patents in GPU/AI accelerator design or related fields Experience with FPGA prototyping and emulation Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) Whats Offered: Salary : Competitive and commensurate with experience and qualifications Equity : Stock options in our early-stage startup ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

platforms Agile delivery experience and strong collaboration skills Bonus skills: Experience with other cloud providers, DevSecOps automation, Apigee/API Gateway, or AI/ML-enabled cloud services. Security Eligibility: Candidates must be eligible for UK Security Clearance (SC or DV) if required. Why This Role? As a Cloud DevOps ...

existing .NET/Angular platform while leading the design and implementation of AI-centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in-house GPU infrastructure and Run.ai platform for model training, fine-tuning, and inference at scale. Key Responsibilities Core … Server and MongoDB RESTful APIs; NServiceBus or equivalent service bus/messaging platform. Demonstrable experience in at least one of: Implementing AI/ML-driven features in a production product, or Building document processing/intelligent automation workflows (OCR, classification, extraction, validation). Familiarity with common AI/automation building ...

love for you to be part of the journey. Role Summary You’ll play a key part in supporting our product team — learning the product inside out, assisting with configuration and administration, and helping to deliver high-quality outcomes for our customers in the rail industry. The role would … tasks to assist customers and monitor the performance of our product. Assist the product team in completing validation and ground truth exercises of our machine learning models and positioning data. Personal Qualities and Experience Essential A collaborative, positive & flexible approach. The ability to learn quickly and accurately communicate ...

Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential: - Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams ...

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 ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

with Gong (or similar call intelligence platform). • Experience with project/milestone‐based revenue (services, consulting) and commission modelling. • Exposure to AI/ML or cloud/professional services deals. Benefits: Health Insurance Fully Remote PTO: location‐based, in line with local statutory requirements and market practice. Diverse team ...

TypeScript Strong recent experience in PHP, Laravel, TypeScript and React A product-focused mindset with a passion for crafting user-friendly software Exposure to machine learning or a strong interest in practical AI applications Experience working with Docker and AWS infrastructure Familiarity with CI/CD workflows (DevOps ...

MySQL/PostgreSQL Typescript Serverless/Lambda Version control - Git AWS cloud/CDK Jest HTML/CSS/JS/SASS AI/ML EDI Manufacturing software (ERP) While the above knowledge and skills are preferred, we are open to all applicants with the correct attitude and willingness ...

solutions from concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership … delivering Generative AI programmes at enterprise scale Strong advisory background engaging senior business leaders Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning ...

optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding … Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions ...

Neo4j schemas; write high-performance Cypher queries and ensure production scalability. Graph Data Science: Apply graph algorithms (e.g., centrality, pathfinding, community detection) and graph ML to derive actionable insights. Production Deployment: Move solutions from research to production (TRL > 6); integrate graph models into APIs and pipelines with reliability and latency … experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL). Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver). Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL. Production Engineering: Hands-on experience with Docker, REST APIs (FastAPI/Flask ...