1 to 25 of 31 Machine Learning Jobs in Bristol

analytics and modelling. Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight. Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms. Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs. Communicate complex … STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background. Proven experience using Python, SQL and SparkSQL in data or ML-focused roles. Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‐learn, TensorFlow or PyTorch, alongside packages ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture decisions for ML pipelines and data flows. Apply secure coding and configuration practices in line with compliance standards. Mentor junior engineers and share best practices across the team. Support innovation by researching emerging ML ...

ability to work with both technical and non-technical stakeholders It would be an advantage if you also have: Experience supporting data science or machine learning initiatives Experience with BI tools such as Tableau or Power BI Familiarity with big data tools such as Spark or Hadoop Knowledge … compliance. Establish processes for, and participate in code reviews, testing and documentation to ensure the deployment of high-quality models and solutions. Analytics and Machine Learning Support To support data analysis, data preparation, and feature engineering to identify trends and patterns. To support and contribute to the development ...

moving notebooks into production”. We’re looking for a Senior Machine Learning Engineer to help design, build, and deploy mission‐critical ML systems used across defence, security, and high‐integrity public sector programmes . You’ll be working on problems where correctness, robustness, and trust matter … much as raw performance — and where your work has real‐world impact at national scale . 🔥 Why This Role Is Different Real ML engineering : production systems, not demos Work on secure, high‐integrity platforms where ML decisions matter Influence architecture , not just implementation Join a team that treats ML ...

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 ...

site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. The selected candidate will be responsible for: Architecting the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Design … develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications Productionizing ML Workflows : Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. Integration & Interoperability : Design REST/gRPC endpoints for cross ...

critical challenges to the UK’s digital landscape. As a Principal Data Scientist you will: Lead on the continual development of Automation, Orchestration and Machine Learning capabilities Be a People Leader and manage 4-6 individuals Undertake pre-processing of structured and unstructured data Lead … development of predictive models and machine-learning algorithms Coach/mentor junior members of the team What you’ll bring UK DV Clearance or the ability obtain it (https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearancelevels/national-security-vetting-clearance-levels ...

innovative data science initiatives and deliver meaningful, real-world outcomes. The Role You will take ownership of technical delivery and design end-to-end machine learning solutions. Operating within a collaborative, agile environment, you’ll address complex problems using advanced analytics and AI-driven approaches. Key Responsibilities Lead … initiatives across machine learning, automation, and analytics Oversee and mentor a small team of data scientists Build predictive models and data-driven solutions (structured and unstructured data) Collaborate with stakeholders and translate technical findings into business impact About You Proven experience in a senior data science position Strong ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

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 ...

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 ...

qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly Strong … senior leadership team - you will have visibility and influence that is impossible at larger organisations A funded apprenticeship with structured learning and professional development The chance to work across multiple brands and markets, gaining breadth of experience A genuine say in how AI is adopted and implemented across ...

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 ...

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 ...

engineering background: comfortable writing production Python, with working knowledge of one or more of TypeScript, Java or C++ • Hands-on experience deploying AI or ML systems into real environments, not just prototypes. You have seen what breaks between a notebook and a running service, and you know … classified facilities • Strong written and verbal communication. You can explain a software pipeline to an intelligence analyst, and an intelligence workflow to a machine learning engineer, without losing either of them Highly desirable • Existing SC or DV clearance • Prior experience delivering into UK MOD, UK Intelligence Community ...

validate, and deploy predictive models using real-world data Experience working with time-series data and sensor-driven datasets Solid understanding of statistical methods, machine learning techniques, and model validation approaches Experience working in Python or similar, with relevant scientific and data libraries Ability to work closely with ...

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 ...

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 ...

patterns, artefact registries, secrets management, observability Architecture: Distributed systems, API contracts, interface control, performance & resilience engineering Plus (nice‐to‐have): Exposure to AI/ML pipelines or model‐based engineering in secure contexts What you’ll bring Proven background as a Lead Software Engineer/Technical Delivery Lead in high ...

global leader in Aerospace and Defence is seeking a Principal Data Scientist in Bristol. This hands-on role involves leading machine learning capabilities and managing a small team. Candidates should have strong data science experience, knowledge of programming languages, and cloud platforms. Competitive benefits include generous leave, pension ...

development to next generation streaming infrastructure, our consultants help shape the future of entertainment. 5V Tech – We partner with global innovators in AI, Semiconductors, Machine Learning, Cloud, Edge Computing, and Robotics, helping them scale elite engineering and technical teams. Our work connects the people building the future ...

that's scalable, flexible and built to last. Your work will directly support high-impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting - ensuring teams across the business can trust and use data with confidence. Data Architecture & Modelling Define and own the architectural principles … through to the Gold layer.Design and govern the Medallion Architecture (Bronze/Silver/Gold), ensuring every layer is built for analytics, AI/ML and self-service consumption.Own data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight.Define Unity ...

that's scalable, flexible and built to last. Your work will directly support high‐impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting - ensuring teams across the business can trust and use data with confidence. You'll collaborate closely with colleagues in Data Engineering … Gold layer. Design and govern the Medallion Architecture (Bronze/Silver/Gold), ensuring every layer is built for analytics, AI/ML and self-service consumption. Own data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity ...