ML & AI Engineer
Role details
Job location
Tech stack
Job description
As an AI/ML Engineer focused on Responsible AI at GSK, you will help build safe, ethical, and high-impact AI solutions across drug discovery and clinical applications., Tailor and implement Responsible AI methods for various healthcare modalities (genomics, EHRs, images, and text).
Support cross-functional teams in building ethical ML pipelines and software products, emphasizing generative AI, AI agents, and AI system composition.
Conduct and lead research on the responsible use of generative AI in drug discovery and clinical applications.
Collaborate closely with research scientists, senior leaders and AI/ML engineers to execute GSK's responsible AI strategy., Job Title: ML & AI Engineer Location: London- 3Days/week Onsite Duration: 6months+ Contract Inside IR35 Job Overview We are looking for an ML & AI Engineer to support the development of advanced AI-driven solutions for conversational banking and customer engagement...., An innovative AI startup in Greater London is looking for a Machine Learning Engineer to scale their product. This role involves designing and deploying ML features, working primarily with Python and TypeScript, and driving the machine learning strategy. Candidates should..., An innovative home improvement company in the Greater London area is seeking a Machine Learning Engineering Manager to lead AI projects and develop high-performing teams. The role involves overseeing multiple business teams, developing ML solutions, and advocating for..., Job Title :: AI/ML Engineer Job Type :: Contract Job Location :: London, UK (HYBRID) Experience Required :: 3-10 yrs JOB DESCRIPTIONS Responsible for automating model deployment, ensuring version control, monitoring inference systems, and safely integrating AI agents..., ML & Ai Engineers We're looking for engineers to: * Automate ML deployment workflows * Manage model versioning & releases * Monitor inference cost, latency & drift * Implement observability & rollback systems Skills: ML deployment automation, version control, production...
Requirements
Degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience as an ML engineer or data scientist.
Expertise in Python and generative AI, with solid experience in a major deep learning framework (PyTorch, TensorFlow).
Deep understanding of machine-learning principles and state-of-the-art modeling approaches.
Track record of research and publications in Responsible AI.
Fast learner ready to develop ML and software-engineering skills in a new domain.
Proactive communication, problem-solving, and proven collaboration across diverse backgrounds and seniority levels.
Preferred Qualifications & Skills
Experience with biomedical data (genomics, transcriptomics, proteomics, EHRs, clinical images).
Contributions to relevant open-source projects.
Background or interest in drug discovery, biology, medicine or ethics.
Benefits & conditions
Job Description Senior System Engineer (AI/ML) | Permanent position - Location: Central London - Onsite: 5 days a week (South Kensington / Waterloo) - Salary: Up to £82,500 + Excellent Benefits - Available position: 2 positions Our client, an IT consulting and services..., Senior System Engineer (AI/ML) | Permanent position - Location: Central London - Onsite: 5 days a week (South Kensington / Waterloo) - Salary: Up to £82,500 + Excellent Benefits - Available position: 2 positions Our client, an IT consulting and services provider, is...
