1 to 25 of 29 Machine Learning Jobs in Somerset

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating ...

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. ...

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 ...

Have MSc or PhD in Computer Science, Data Science, Engineering, or related field Experience in financial services, particularly credit markets or investment management Classical ML/AI capabilities (gradient boosting, time series forecasting, anomaly detection) What They Offer Competitive Package - Base salary, discretionary bonus, generous pension, comprehensive benefits, and daily ...

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 . ...

Digital Operational Resilience Act (DORA) ETL testing with Azure Data Factory and advanced proficiency in SQL Experienced in advanced AI/ML approaches for improving quality efficiency Senior QE/QA leadership experience within Banking or Financial Services Proven ownership of enterprise quality strategy (not just delivery) Strong experience across ...

communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification ...

motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

based on your interests and career goals, like: Using statistical analysis and visualisation tools to understand data patterns and characteristics within real data Using machine learning tools and statistical techniques to produce solutions to problems Using algorithms to solve problems and enthusing others to see the benefit ...

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 ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

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 ...

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science … Machine Learning to stay ahead of the market and improve how it serves its customers click apply for full job details ...

specific training pathways that are fully government funded. Our track record (proof we can deliver) Originated at Imperial College London, where we founded the Machine Learning Society with DeepMind sponsorship and educated 6,000+ students pro bono. Selected by NVIDIA to deliver specialised training via their Deep Learning … hire adults, trust them, and optimise for ownership, not micromanagement. Work Directly With the Founder (Flat Structure) Flat structure means high exposure, fast learning, and the chance to "skip rungs." You'll work close to leadership and have real influence on how we build the sales function. Wealth + ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

others optimize labour planning, scheduling, budgeting, time and attendance, task execution, and fresh operations through advanced forecasting, AI/ML optimization, and operational best practice. Retailers rely on Logile to drive productivity, improve colleague engagement, reduce costs, and deliver better customer experiences. Role Overview We are seeking a Solution Consultant ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

media pipelines. Experience with React component libraries, data visualization, or analytics dashboards. Familiarity with additional cloud providers (AWS, GCP). Background in AI/ML, NLP, or speech technologies (STT/TTS). We are looking for a skilled Full-Stack Developer with strong experience in Python and LiveKit … media pipelines. Experience with React component libraries, data visualization, or analytics dashboards. Familiarity with additional cloud providers (AWS, GCP). Background in AI/ML, NLP, or speech technologies (STT/TTS). ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...