22 of 22 Contract Machine Learning Jobs in the South East

Data Annotator Analyst – AI/Machine Learning – Expedia Group Location: London (hybrid working) Duration: End of 2026 Pay: £223.18/day About the Role We are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

Machine Learning Engineer Hybrid Working - UK Wide - 2 Days a Week On Site Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in building and operating robust ML pipelines and serving systems for classic ML and deep learning models, including those that underpin GenAI features. This role is based UK Wide. This ...

Inside IR35 A global life sciences organisation is seeking a Senior Data Engineer to join a highly technical data platform team working on ML-adjacent initiatives. The environment is cloud-native and highly data-intensive, with a strong focus on unstructured data and scalable pipelines. This is a data engineering … role rather than an ML Engineer or Data Scientist position. The successful contractor will be comfortable operating close to machine learning workflows, particularly working with PyTorch in a cloud environment, but the core responsibility remains data engineering at scale. The RoleYou will be responsible for designing, building ...

Senior ML Infrastructure Engineer (Robotics) LondonContract, Outside IR35£600-1000 per dayPrimarily onsite Overview We are partnering with a robotics and AI company building the core software infrastructure that enables advanced AI models to operate reliably in real-world robotic systems. They are looking for a Senior ML Infrastructure Engineer … cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments. You will collaborate closely with researchers and ML engineers, help shape architectural decisions, and solve complex systems problems that directly impact real-world deployment. Key Responsibilities * Design, build, and maintain distributed ML training ...

contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models … versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc. ...

programme. To work with the existing delivery team to deliver models, documentation and associated productionised services. Solid knowledge and experience of AI and ML is essential Key responsibilities include; Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation … Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines) Version Control (Git): To maintain reproducible and collaborative workflows Time-Series Analysis: To assess risk trends over financial years Exploratory Data Analysis ...

Senior Software Engineer or in a similar role. AWS Expertise : Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy : Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge : Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or sales operations. Benefits Long contract Hybrid role ...

modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer … checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering ...

processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or sales operations. Benefits Long contract Hybrid role ...

design artefacts, including documentation • Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc. • Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering ...

Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. Optimise data architectures for performance, reliability, and cost efficiency in cloud environments. Collaborate with data architects, analysts, and business stakeholders to gather requirements ...

data, or product environments. A knack for translating business needs into clear, detailed requirements and user stories. Hands-on experience with AI/ML or LLM-based solutions (think: generative assistants, recommendation engines, automation tools). Strong analytical chops and a love for problem-solving. Top-notch communication skills ...

government environments. Familiarity with DevSecOps practices, containerisation (e.g. Docker), and/or cloud-based deployment. Understanding of data integration, analytics, and AI/ML concepts. Experience working in Agile environments using tools such as Jira, Confluence, and Git . ...

technologies with a secure and cost-effective design (e.g. Azure services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, Azure Foundry, Azure Copilot Studio, Function Apps, API management, authentication, and Logic Apps.) to deliver a resilient and scalable platform (LEAD) Demonstrable ...

tools. Strong Python programming experience, with good experience building and maintaining Data Pipelines. Good knowledge of Fixed Income products. Strong experience in statistical analysis, machine learning, and predictive modelling. What you'll get in return Initial 6-month contract with extensions. Up to £765pd Umbrella. London-based hybrid ...

Month Contract with scope to extend Please apply for the full details. Role Overview My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than … automation at scale. Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment Implement, andmaintainmulti-account, multi-region AWS environments usingIaC(Terraform, Helm, CloudFormation). ManageKubernetes clusters (EKS/OpenShift), service meshes ...

quickly and effectively Translate insights into concept pitches, MVPs and business cases for internal buy-in Champion a culture of curiosity, experimentation, and continuous learning Track and share learnings across the company to inform product and strategy decisions Build and evolve lean frameworks for innovation processes, including discovery … idea or concept, to MVP Passion for future trends, emerging tech, and spotting what's next before its obvious An understanding of AI/ML fundamentals, including supervised & unsupervised learning, LLMs, generative models, etc. Demonstrable data literacy skills, ability to manipulate and interpret datasets unaided, including experiment results Strong ...

one. Contract Details Length: 6 months Rate: £800–£1000 per day IR35: Outside Location: Hybrid, Central London Required Experience Proven leadership in AI, ML, or Data Science at Head-of/Director level Strong background in AI strategy, delivery, and enterprise-scale implementation Deep technical expertise across ML, LLMs ...

highly skilled and experienced AI Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable … driven solutions and bring them into production. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization ...

Length: 3 months Location: Canary Wharf Overview We are seeking an experienced AI QA Tester to support the testing and validation of AI/ML systems within a fast-paced, delivery-focused environment. This role will play a critical part in ensuring AI models are robust, ethical, compliant, and production … ready. Key Responsibilities Design and execute comprehensive QA strategies for AI/ML systems, covering functional, integration, performance, and security testing Validate AI models using appropriate testing methodologies, performance metrics, and evaluation techniques Assess AI systems against governance frameworks and responsible AI principles , including bias detection and mitigation Perform data ...