11 of 11 Machine Learning Jobs in Somerset

their successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities … Bootcamp. Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to develop learners from intermediate to more More ❯

As an AI Software Engineer Apprentice, you’ll deliver real-world AI and ML solutions working with data pipelines, models, APIs, and microservices while advancing toward a fully funded Level 6 degree. This role is rooted in the Digital and Technology Solutions standard, blending a common core with the Software Engineer specialism. Role Location: Hybrid (UK-based) Hours: Monday – Friday … for training and evaluation. Support the design, development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Experimentation & Evaluation Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support … Write clear, well-organized documentation for code, models, datasets, and project workflows. Participate in team meetings, sprint planning, and code reviews. Engage with mentors to reflect on progress, set learning goals, and track outcomes. Training Training & Assessment The Level 6 Digital and technology solutions professional apprenticeship includes formal training aligned to Digital and Technology Solutions Degree. If Functional Skills More ❯

Data development using Synapse, Azure Data Factory, and ADX. Other services require a good working knowledge of Databricks, Logic Apps, and the Power Platform knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks knowledge of advanced statistical techniques and concepts (regression, properties of … all components (functional and non-functional) to verify that the solution satisfies specified requirements and to detect errors excellent academic qualifications, ideally an MSc in Data Science, AI/ML, Computer Science, Mathematics, or a similar field; BSc or equivalent experience may be considered. What you'll receive A combined pension contribution of up to 20%. Career progression and More ❯

data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

Engineer, you will have opportunities to advance into senior technical roles, lead development teams, or specialize in areas such as system architecture, data analytics, or AI/ML. Continuous learning and a passion for innovation are essential for long-term career growth in this rapidly evolving field. More ❯

understand and resolve technical disputes across varying levels of complexity and risk. Design or operation of a range of Azure or AWS hosted Analytics applications, databases or services, including Machine Learning Worked as part of multi-disciplinary project team. For example, collaboration with UR/UX Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this More ❯

beyond are considerable. Our product roadmap is ‘bursting at the seams’ with feature ideas that we’re keen to build – and we’re motivated to further harness AI and ML to help our customers deliver projects consistently and compliantly. This role will be offered remotely. We have tried-and-tested practices and processes in place that make this work seamlessly. More ❯

Product Employment Type: Permanent Location: Bath, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML … Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse … self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high More ❯

Product Owner - Insurance/Reinsurance/Fintech (AI/ML/NLP)| Hybrid - Bristol (2-3 Days Onsite) Salary: £50,000 - £65,000 + Benefits (see below) Are you an experienced Product Owner who thrives on driving innovation in complex, data-rich environments? Want to work at the cutting edge of insurance technology with a team shaping the future of … a Product Owner: 3-5 years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI/ML or NLP Background in computer science, data science, economics, or a related field. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of service-oriented architecture and Agile delivery. More ❯