10 of 10 Contract Machine Learning Jobs in Central London

test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs … platform direction. Key Skills and Experience Strong Python programming skills and foundations in machine learning, LLMs, or multimodal AI. Understanding of ML concepts such as training, fine-tuning, optimisation, evaluation, and model drift. Experience building or adapting ML models (open-source or proprietary). Ability to design structured ...

based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). … also required to lead the team of 4 who can demonstrate a background in the following: Technical leadership and architecture Delivery ownership AI/ML solution stewardship People leadership Stakeholder and product partnership Controls and governance ...

requirements management within Waterfall and hybrid delivery environments, ensuring all artefacts pass formal stage-gates. Capture, structure, and document requirements for various projects including ML products, data pipelines, APIs, dashboards, decision engines, and operational reporting. Act as a key interface between technical teams and business units, translating complex technical concepts ...

Product Manager. Core Tech Stack : Expert-level Python (Backend) and Angular (Frontend). Experience : 5-15+ years of development experience. AI/ML Focus : Experience with Large Language Models ( LLMs ), agentic development, Vertex AI , and vector databases (semantic search). Additional Skills : Java, Kotlin, and Go are 'nice ...

clients Nice to Have Skills Experience working in the UK Public Sector Strong understanding of Hybrid Cloud for telecom Knowledge of applying AI, ML, and automation in telecom operations ...

Outside IR/35 Were looking for a Data Engineer with strong MLOps ownershipsomeone who builds reliable data pipelines and designs, runs, and improves ML pipelines in production. You wont be training models day-to-day like a Data Scientist; instead, youll enable Data Science by delivering high-quality datasets ...

Outside IR/35 Were looking for a Data Engineer with strong MLOps ownershipsomeone who builds reliable data pipelines and designs, runs, and improves ML pipelines in production. You wont be training models day-to-day like a Data Scientist; instead, youll enable Data Science by delivering high-quality datasets … reproducible training pipelines, robust deployments, and monitoring that keeps ML systems healthy and trustworthy. What youll do Design, build, and operate scalable data pipelines for ingestion, transformation, and distribution Develop and maintain ML pipelines end-to-end: data preparation, feature generation, training orchestration, packaging, deployment, and retraining Partner closely with ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...

Essential skills: 15+ years overall in software/solution architecture with 7 + years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML ...

Integration readiness Scalability and delivery viability Advise on target architecture direction and development sequencing Ensure alignment across sensors, C2 systems, data platforms, AI/ML components, and edge compute Act as a trusted technical authority, bridging delivery teams, architects, and senior stakeholders Support coherence across a multi-vendor, open-framework … fast-evolving programmes Able to challenge constructively and provide clear, pragmatic guidance Experience on large, multi-vendor defence programmes Exposure to AI/ML-enabled systems, edge compute, or real-time data environments Background in operationally critical or time-sensitive system Active SC Clearance is required due to the sensitive ...