7 of 7 Part-Time Machine Learning Jobs in England

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯

projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept … relevant field with 4+ years of post-doctoral or industry experience. Proven experience leading R&D teams (5+ people) and securing funding. Strong Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information … extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

developer on a project and as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT … development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be to join the data portion More ❯

their members. Address concerns, mitigate resistance, and inspire the team to own and embrace new ways of working with their systems. Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops alongside their consultants. Stakeholder Engagement & Communication: Build and maintain strong relationships with key stakeholders at all levels, including the team, their Board and … similar digital transformation, IT management, or consulting role, with a strong track record of successfully leading complex digital projects. Deep understanding of digital technologies such as cloud computing, AI, machine learning, IoT, data analytics and reporting, and automation. Strong analytical and problem-solving skills, with the ability to interpret data and make data-driven decisions. Excellent project management More ❯

and Raman, multidimensional and sum-frequency generation (SFG). Applying relevant and new approaches to data analysis such as global analysis, principal component analysis (PCA), lifetime density analysis and machine learning. You will work as part of a multi-disciplinary team, including physicists, chemists, materials scientists and engineers. You will interface directly with scientists to gather requirements and collaborate More ❯

with strong experience in .NET Core/.NET 6+ to join our team on a part-time basis (4 days per week) in London. You will work alongside AI, ML, and app development teams to build scalable, secure, and intelligent backend services. Key Responsibilities Design, develop, and maintain scalable backend services using .NET Core/.NET 6+ Collaborate efficiently on … an AI-driven project alongside the customers Lead Backend Engineer Work closely with ML Engineers, App Developers, and Data teams for integrated feature delivery Design and build RESTful APIs to expose AI models and LLM prompt-based services Integrate trained ML models into backend systems supporting real product features Build and maintain infrastructure for data ingestion, processing, and secure storage … measures Required Skills and Experience Proven experience in .NET Core/.NET 6+ development Strong understanding of REST API design and backend microservices architecture Experience working on AI/ML integrations in production environments Familiarity with secure coding practices and enterprise-level data protection standards Comfortable with authentication, authorization, and SSO integration Experience working in collaborative DevOps settings with CI More ❯