1 to 25 of 68 Permanent Machine Learning Jobs in Bristol

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

Machine Learning Engineer/Computer Vision Engineer We are working with an innovative UK technology business developing AI powered software solutions that combine multiple data sources to deliver intelligent situational awareness and real time insights. Their technology. As a growing organisation, they are offering the opportunity to work … general Machine Learning or LLMs Experience in developing and deploying production ready machine learning models Strong understanding of the full ML lifecycles, from model deployments through to deployment Experience working with large scale image datasets Knowledge of object detection, tracking, classification or similar computer vision techniques ...

best practices.Act as the technical authority for AI-related projects and programmes.Mentor and develop engineers, architects and technical specialists.Solution Design & ArchitectureDesign scalable AI and machine learning solutions.Define architecture for Generative AI, Machine Learning and Intelligent Automation platforms.Establish patterns for integrating AI services into enterprise applications.Ensure solutions … roadmaps, technical options and recommendations to leadership audiences.Build strong relationships across technology, data and operational teams.Required Skills & ExperienceTechnical ExpertiseStrong software engineering background.Experience delivering AI, machine learning or Generative AI solutions.Knowledge of Azure AI Services, Azure OpenAI, AWS AI or Google Vertex AI.Experience with Python and modern development frameworks.Strong ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

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 ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

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 ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

advanced hardware and software to accelerate demanding workloads across AI, cryptography, and high-performance computing. This is a high-impact opportunity for an applied Machine Learning engineer to build simulation environments, frameworks, and tools that help shape the future of computing. What they're looking for: 10+ years … memory architectures Experience with software testing, validation, and verification Ability to write technical specifications, test plans, and documentation Familiarity with AI/ML, HPC, or cryptography workloads (nice to have) Experience with Rust, CI/CD, Jenkins, Git, or performance analysis (nice to have) Why consider it: Significant ownership ...

that sit at the 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 … rigorous, quality-focused approach to problem-solving and developmentEssential Skills & Experience: Mathematical modelling, analysis, or problem-solvingNumerical simulation or data analysisData science, including machine learning techniquesSoftware development (ideally Python or similar)A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similarConfidence working with ...

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 ...

embedded C development experience and some embedded linux kernel configuration and development experience. Anyone with low-level driver development or video/machine learning application development would be of interest. Responsibilities include developing or modifying Linux drivers for the embedded platforms and developing Linux video and machine learning applications. Great salary, hybrid working and visa support available. Get in touch with Emma Windows at IC Resources. ...

managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data … architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

make sure we can be there for our customers.Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning? We’re on the lookout for a Lead AI Engineer to take the helm of our AI initiatives. You’ll lead ...

ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech , including clinical ...

skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual … sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various ...

translate complex technical concepts for diverse audiences.Experience producing clear project documentation, technical specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g. ...