26 to 40 of 40 Machine Learning Jobs in Worcester

lifecycle of high-performance GPU clusters using Terraform and Ansible. Maintain the stability and performance of large-scale Linux environments supporting AI/ML training workloads. Collaborate with vendors and internal teams to troubleshoot hardware and networking bottlenecks (latency, throughput). Implement monitoring solutions (Prometheus/Grafana) to visualise ...

voice work Marketing, communications, or audience engagement Psychology, philosophy, or behaviour-focused disciplines STEM backgrounds with strong structure and clarity Experience with AI, ML, or data-related tasks Additional Information Flexible 20–40 hours per week Remote working Opportunities for ongoing work, bonuses, and progression Please follow the Morpheus LinkedIn ...

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 ...

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 ...

/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 ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

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 ...

Kingdom Role Type – Contract Must Have Skills: Strong background in application security, cloud security, or security architecture Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores Deep familiarity with AI security risks and threat modeling methodologies Working knowledge of modern DevSecOps practices … tools Excellent communication and stakeholder engagement skills Responsibilities and Job Details: Design and maintain security architecture standards and patterns for AI and ML systems Conduct in-depth architecture reviews, threat modeling, and contextual risk assessments Partner with AI platform engineers, product teams, and data scientists to embed security into ...

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 ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

stakeholders to translate business requirements into technical solutions What We're Looking For 2+ years of professional full-stack development experience with AI/ML systems Strong engineering skills across frontend and backend technologies Proficiency with modern frontend frameworks (React, Vue, Angular) and TypeScript Backend experience with Python, including … design (REST) Hands-on experience deploying LLMs, transformers, or other neural networks Proven experience with prompt engineering techniques and LLM optimization Experience with ML frameworks (PyTorch/TensorFlow) and model serving Proficiency with relational databases and AWS (PostgreSQL/MySQL) AWS experience on basic services (ECS, S3, etc.) Experience with ...

.NET Developer – .NET 10.0, C# 14, Blazor, Azure – Worcester (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 Living ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Worcester (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 Living ...

execution end-to-end — not just manage tickets. You'll work closely with: Fullstack Engineers (including a Tech Lead) DevOps Data Ops & ML Engineering CEO, CPO, and CTO (strategic input and alignment) You become the central execution engine, ensuring the product moves forward quickly, clearly, and with purpose. What Success … launch is a strong plus Domain & Technical Understanding Solid understanding of marketing analytics or campaign workflows Comfortable specifying requirements involving data and AI/ML concepts Confident interpreting product metrics and KPIs Ways of Working High emotional intelligence and strong communication skills Pragmatic, outcome-focused, and delivery-oriented Comfortable operating ...

live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you'll: Lead global strategy and execution across computer vision, ML, and data engineering. Scale world-class engineering and research teams across multiple regions. Oversee the design, optimization, and deployment of real-time tracking and visual intelligence … requirements: Proven background leading large computer vision or real-time data engineering teams. Expertise in object tracking, image/video processing, or large-scale ML deployment. Strong technical leadership and cross-functional delivery at global scale. Experience turning advanced R&D into production-grade systems. This is a high-visibility ...