3 of 3 Part-Time Machine Learning Jobs in the South East

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 ❯

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 ❯

some travel expected. Flexible working options for full or part-time employment is available. What Youll Do: Lead and support R&D projects in road condition monitoring, automation, and machine learning. Design and run experimental trials, collect and analyse data, and build custom tools (e.g. using Python). Apply signal and image processing for infrastructure assessment and survey analysis. … processing, or digital twins. Familiarity with infrastructure survey methods (e.g. TRACS, P-AMS MSP). Exposure to government or industry-funded R&D programmes. Understanding of digital twins, or machine learning applications in asset management. Knowledge of C# or other programming languages. Why TRL? Competitive salary & 25 days holiday Matched pension, healthcare cashback scheme, and income protection Professional More ❯