12 of 12 Machine Learning Jobs in Plymouth

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

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 ...

into high-quality, structured datasets • Collaborating with engineers and legal specialists to build tools that genuinely shift workloads What they're looking for: • Strong ML fundamentals and hands-on LLM experience • Proficiency in Python and familiarity with modern AI tooling (e.g. embeddings, retrieval, multi-agent architectures, document understanding) • Experience building ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

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 … 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 ...

application, and technology architectures Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership Partner with leaders … wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates ...

/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...

This isn't lecturing. You'll run interactive sessions, give deep feedback on real projects, challenge thinking, and help learners apply what they're learning directly in their roles. You'll guide them through building data governance frameworks, designing data products, making the business case for data initiatives … creating trusted, reliable data foundations Data governance — implementing frameworks that balance control with enablement Data architecture or DataOps — designing systems that scale AI/ML governance — managing risk while enabling innovation You've probably: Led or significantly contributed to data initiatives in complex organisations Built business cases for data investments ...

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 ...