1 to 25 of 53 Machine Learning Jobs in Bristol

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

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 ...

Responsibilities 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 robust IT Service Management, regulatory compliance … model risk management, ethical AI standards and ongoing enhancements to user experience, efficiency, scalability and cost of operation. Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading‐edge techniques to enable rapid, scalable and cost‐effective delivery of machine learning ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

will play a key part in enabling that shift, ensuring our data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for our business, with backing already in place and a clear … both regulatory and product needs. As the platform matures, you'll also help enable more advanced capabilities, including predictive modelling, scenario optimisation and machine learning use cases, ensuring the data foundations are built to support them properly. What You'll Be Doing In the early stages ...

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 ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

numerical simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality … development lifecycle Skills & Experience Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning/AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong ...

heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. … focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar ...

models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices … e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual ...

models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices … e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual ...

system analysis to develop algorithms that ensure we're ahead of the competition within sophisticated weapon systems, using ground breaking algorithm technology such as machine-learning and artificial intelligence. You will: Design, develop and test mathematical algorithms using Matlab/Simulink and Python Interpret technical specifications and collaborate … looking for from you: Any experience in the following areas would be beneficial: Mathematical analysis/modelling Numerical simulation Data Science, especially machine learning Geospatial data and/or geographical information systems Software development A numerate graduate or post-graduate qualification Ability and confidence to work with mathematics ...

development process, mentoring of less experienced colleagues, and a substantial influence over future product architecture. You'll be working closely with colleagues from the Machine Learning and RF teams. Your technology focus will be highly optimised FPGA designs for digitally transforming raw optical signals to inputs suitable … machine learning algorithms. You will be working with technologies such as RFSoCs and SDRs with FPGAs from AMD/Xilinx, and will need excellent design skills, hands-on lab skills, and fluency in VHDL. You will need: A good degree in electronics or a similarly applicable subject from ...

engineering workflows, and unlock new efficiencies across the business. We're looking for a builder rather than a strategist alone, someone with experience deploying machine learning and AI systems in industrial, manufacturing, robotics, or other complex engineering environments. You should be comfortable moving between executive conversations, data architecture … decisions, and hands-on technical delivery. Key experience includes: Applied AI/Machine Learning in production environments MLOps and model deployment at scale Data strategy and AI roadmap ownership Cross-functional leadership across engineering and operations Demonstrable delivery of measurable business outcomes Experience within advanced manufacturing, aerospace, automotive ...

Senior Robot Learning Engineer (Vision-Language-Action Models) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity We're recruiting on behalf of a rapidly growing robotics and AI company seeking a Senior Robot Learning Engineer to develop and deploy advanced … improving robot intelligence and deploying those improvements into real-world environments. The Role You'll be responsible for developing, training and deploying advanced robot learning systems that enable increasingly capable manipulation and autonomous behaviours. Working alongside robotics, perception and infrastructure teams, you'll help shape the future of intelligent ...

technologies, libraries, and tools where appropriate. AI & Automation: Integrate AI and machine-learning powered features into backend systems. Collaborate with AI/ML specialists to deploy and maintain intelligent services. Stay up to date with emerging AI trends and identify opportunities for automation and optimisation. Qualifications 5+ years … . Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, LLMs, data pipelines, or integrating large language models/APIs. Strong problem-solving skills and the ability to translate complex requirements into scalable solutions. ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands‐on contributor, working closely with experienced engineers to build reliable, high‐performance systems across devices, cloud platforms, and applied ML, contributing to real‐world, field‐deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

seeking a leader for the Machine Learning Engineering team in Bristol. This hybrid role involves guiding the operation of AI/ML services, ensuring robust governance and stakeholder engagement. The ideal candidate will have strategic and operational leadership experience of 5+ years, with a strong focus … machine learning. Responsibilities include defining platform strategies and driving data innovation across the organization. Exceptional skills in budget and risk management are required for this pivotal role. #J-18808-Ljbffr ...

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 ...

front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Optimise system performance and reliability for high-volume data operations across distributed environments. • Implement secure, compliant … 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 ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...