5 of 5 Machine Learning Jobs in Worcester

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 ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? 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. 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 ❯

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 ❯

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 ❯