17 of 17 Machine Learning Jobs in Somerset

are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities: Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine … Administration with at least 4 years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC . Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker, Kubernetes, Shell Scripting etc … and deploying workloads on cloud, preferably AWS. Associate Certification (preferable) in AWS Development and/or Architect or any cloud related certification (Terraform/chef). Understanding of AI, ML & Generative AI domain will be an added advantage as the team is focused on creating AIML capabilities for the organization. Ability to analyze escalations, prioritize, identify owners, track and facilitate More ❯

Machine Learning Engineer We are working in partnership with a leading technology organisation to recruit an experienced Machine Learning Engineer. The successful candidate will design, train, and optimise high-performance machine learning models, build and manage datasets for real-world sensing systems, and clearly communicate technical work to stakeholders. Based in North Somerset, you … ll be part of a collaborative and forward-thinking environment that encourages rapid prototyping and experimentation. You’ll work within multidisciplinary teams to develop, validate and deploy machine learning models to meet challenging customer requirements. Key Responsibilities Develop and train neural network models using frameworks such as PyTorch and TensorFlow Select and adapt model architectures to meet specific … Engineering, Mathematics, or related field Strong development skills in Python and C/C++ Experience with neural network architectures including RNNs, transformers, and vector quantisation In-depth knowledge of machine learning architectures and training algorithms Experience in model training, quantisation, and conversion for inference Hands-on experience with data preparation, augmentation, and feature extraction Excellent communication and technical More ❯

GDM Coding - Freelance (20 to 40 hours a week) Job Description: Responsibilities: Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review … with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python (must-have) and at least one … PHP, Kotlin Knowledge of web technologies & frameworks Web Scraping, API integration, HTML/CSS/JavaScript Web application development (e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs More ❯

help turn early-stage research software into polished, user-focused applications that run on real hardware platforms. This includes developing graphical interfaces, real-time data visualisation tools and integrating machine learning models for inference. The Role • Develop applications using Python and C++ for prototype and R&D systems. • Create intuitive and responsive graphical user interfaces that present real … time data to end users. • Implement data acquisition and visualisation pipelines for hardware-connected systems. • Integrate machine learning models using PyTorch and support inference testing. • Deploy software on Linux-based platforms and maintain robust build and release workflows. • Collaborate closely with embedded, electronics and mechanical engineers to deliver integrated systems. • Support customer demonstrations, trials and feedback sessions. • Produce More ❯

Europe & UK) | Early-Stage Startup | Stealth Mode What We're Building We're a well-funded startup developing a proprietary AI model that takes a fundamentally different approach to machine learning. We're not iterating on existing architectures — we're building something new from the ground up. We need a physicist who can turn theoretical insights into production systems. … before any code is written. The Role You'll be developing core components of our AI model, engaging in hands-on work at the intersection of physics, mathematics, and ML engineering. This isn't purely theoretical research. You'll own significant pieces of our model architecture from mathematical foundations through implementation and optimisation. Small, high-calibre team with real ownership. … t rattle you. Clear communicator in English. Self-sufficient but collaborates well. This Won't Fit If: You need complete specs before starting You think rigorous means slow Current ML paradigms satisfy you Proving theorems appeals more than deploying systems What We Offer Direct Impact: Build proprietary AI architecture from scratch Equity: Meaningful stake as an early team member Growth More ❯

solving methods and approaches Effective 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 and validation An understanding of More ❯

challenges across following Intuitive Superpowers: Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native/DataBricks/Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security SDx & Digital Workspace (M365, G More ❯

Requirements Must-haves: Substantial experience in pre-sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade-off … innovative work environment with awesome career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces, or a mix of both More ❯

IEEE LICS Test of Time Award; Sacks Prize) and we have strong international connections. Your research might also engage with the other groups in the Department: Artificial Intelligence and Machine Learning, Human-Computer Interaction and Visual Computing. We will offer you support and growth opportunities, including mentoring and opportunities to progress, manage and lead. You will offer a … allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse More ❯

and deliver end-to-end solutions. Exposure to field services management or workforce management in regulated or safety-critical industries (utilities, energy, construction, etc.) is highly desirable. Exposure to machine learning/AI systems, MLOps and how data is leveraged for insights. Exposure to cloud infrastructure (AWS, GCP) and understanding of scalable architectures. Experience in solution architecture or More ❯

of ServiceNow solutions in client environments Knowledge of technical components such as LDAP, SAML/SSO and integrations that make use of these technologies Ideally,experience with AI/ML technology and preferably experience with ServiceNow Virtual Agent, Predictive Intelligence and Performance Analytics products Experience with Web Technologies (XML, HTML, JavaScript, Web Services, etc.) and working in a SaaS environment More ❯

a bias to action - you identify what needs to be done and make it happen. NICE TO HAVE BUT NOT ESSENTIAL You've practically used + applied AI/machine learning techniques and built predictive models to get deeper insight Additional Information Salary Range: £100,000 - £125,000 (depending on experience and interview performance) Restricted Stock Units (RSUs More ❯

integrating AI models, and working 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 Skilled in GUI development (e.g., PyQt, Tkinter) and webUI frameworks Knowledge of real-time data processing and multithreaded applications Comfortable working in Linux (Ubuntu, Raspbian, Yocto More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

inform data governance, act as a single source of truth, and support all analytics activities. It will underpin reports and dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes More ❯

inform data governance, act as a single source of truth, and support all analytics activities. It will underpin reports and dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes More ❯

content and messaging Metrics & Outcomes Define and track KPIs for adoption, automation impact, AI model usage, and user satisfaction Drive continuous improvement based on feedback, telemetry, and post-launch learning Qualifications:: Required 5+ years in product management or solution ownership in enterprise software Deep familiarity with SAP ecosystem (ECC, S/4HANA, BTP) and cloud infrastructure (AWS, Azure, GCP … and Azure DevOps or JIRA tooling Excellent communication, prioritization, and stakeholder management skills Desirable Knowledge of SAP AI Foundation, Joule, ABAP Cloud, RAP, or Datasphere Familiarity with LLM integration, ML ops, or hyperscaler AI services Prior experience in a cloud-native SaaS environment Selected applicant will be subject to a background investigation, which will be conducted and the results of More ❯