23 of 23 Machine Learning Jobs in Somerset

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

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 ...

most value. This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working, particularly around AI and ML adoption. You'll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation. What … data team Collaborating with Product and Engineering on strategic AI-driven initiatives Identifying and developing high-impact use cases for data science and ML Helping define ML lifecycle standards, documentation and governance Communicating insights and model outputs clearly to technical and non-technical stakeholders What we're looking for Essential ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

Principal Machine Learning Engineer – Production Systems Overview SoftInWay UK Ltd. Is seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance … mixed technology stack. Responsibilities Architect 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. Productionize ML Workflows: Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas … machine learning. We are particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments may be at Lecturer or Senior Lecturer. We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning. … particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments would be at the Reader level. We are a highly collaborative team, working not only with other researchers in our department, but across the university and beyond. We will offer you support ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas … machine learning click apply for full job details ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning. ...

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking … senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You'll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real ...

other engineers, raising the overall engineering bar. This Role Requires Deep AI & Engineering Expertise 3+ years of hands-on experience in AI/ML or Generative AI engineering , with a broader 712 years in professional software development . Strong understanding of model behaviour, limitations, evaluation techniques, and real-world deployment … problems. Comfortable balancing rapid prototyping with the discipline required for long-term, production-ready systems. Academic Foundation Bachelors or Masters degree in Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . ...

oriented Demonstrated leadership potential Fluency in English, additional European languages are a plus Preferred Qualifications Experience in a multinational company Understanding of AI and machine learning concepts Bachelor's degree What We Offer Competitive salary and commission structure Opportunity to join a rapidly growing, innovative company Comprehensive benefits ...

closely with hardware teams to deliver complete solutions. About You – Key Skills & Experience Strong proficiency in Python and C++ Experience with PyTorch or similar machine learning frameworks Knowledge of real-time data processing and multithreaded applications Comfortable working in Linux (Ubuntu, Raspbian, Yocto) and Windows Familiar with DevOps ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

environments. Automate Azure platform deployments using Terraform, including: Azure Data Factory Synapse Analytics Data Lake & Storage Key Vault Azure networking and AI/ML services Implement and manage Terraform state, backends, workspaces, and strategies for drift detection and remediation. Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions … multi-environment Terraform estates Proven experience deploying Azure Data Platform services using Terraform: Azure Data Factory Data Lake/Storage Synapse Analytics AI/ML services Strong experience building Terraform-driven CI/CD pipelines using Azure DevOps, GitHub Actions, or similar. Proficiency in PowerShell, Bash, or Python for automation ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

.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 ...

Senior AI/ML Engineer - Bristol or Bath (hybrid) Method Resourcing has partnered with a UK-based organisation that is establishing a new AI-focused research centre across Bristol and Bath. The mission is to build advanced AI/ML capability and real-world impact, supporting nationally significant programmes across ...

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). … This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java). Build and optimise AI/ML pipelines ...