9 of 9 Permanent Machine Learning Jobs in Worcestershire

data science and engineering initiatives within a growing and forward-thinking software provider. You'll play a key role in shaping a unified data platform and delivering high-impact machine learning and data solutions across cloud and hybrid environments. This is a hands-on leadership role, combining deep technical expertise with mentoring and cross-functional collaboration. What You … modern data platform and DaaS (Data-as-a-Service) infrastructure Lead and mentor a team of data scientists and engineers across multiple projects Oversee the deployment and monitoring of machine learning models in production Define coding standards and implement best practices in CI/CD, MLOps, and API delivery Collaborate with business, product, and engineering teams to align … governance, security, and compliance throughout the data lifecycle Evaluate and introduce new technologies to enhance performance, scalability, and maintainability What We're Looking For: Extensive experience in data science, machine learning engineering , or data platform architecture Proven leadership within technical teams, ideally in cloud-first environments (Azure, AWS, or GCP) Proficiency in Python, SQL , and cloud-native data More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering … wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and ML workflows. Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of … secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering … wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and ML workflows. Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of … secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge More ❯

within a fast-evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the … and DaaS solutions Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows Leading design and implementation of robust, secure pipelines and ML workflows Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter Mentoring team members, supporting professional growth and technical delivery Overseeing deployment, monitoring and … ethical use of ML models in production Designing APIs and data interfaces for internal and external consumption Evaluating and adopting new tools to enhance performance, maintainability and scalability What We're Looking For Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position Proven track record of building More ❯

architects, and product stakeholders to ensure real-world impact through data. What You'll Be Doing: Architect and implement scalable pipelines and data systems that power advanced analytics and ML applications Lead the rollout of data products, including APIs and secure data delivery mechanisms for clients and internal use Partner with cross-functional teams to align data solutions with wider … business goals Take ownership of productionising ML models and integrating them into operational systems Improve access to data through the development of self-serve analytics tools Support data quality, privacy, and governance across platforms Explore emerging tools and methods to keep our stack future-ready What We're Looking For: Strong background in data science or ML engineering , with leadership … cloud-based environments (preferably Azure) Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems Proven track record of deploying ML models into production and managing lifecycle Comfortable designing data services/APIs and supporting self-serve analytics platforms Solid understanding of data privacy regulations (e.g. GDPR), and best practice in More ❯

/XML , and automated testing frameworks (e.g., Jest, Vitest) Familiarity with CI/CD tools , source control , and agile development methodologies Bonus: Experience with Umbraco , SharePoint , or AI/ML integration Strong problem-solving skills, attention to detail, and a passion for clean, maintainable code What's in It for You? A flexible hybrid working model with just one day More ❯

Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical Skills, Experience, Qualifications, If you More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure click apply for full job details More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide t Check below to see if you have what is needed for this opportunity, and if so, make an application More ❯