12 of 12 Contract Machine Learning Jobs in the North of England

Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. Core Responsibilities Model Development: Build … closely with Product Managers and technical teams to translate business needs into scalable AI solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

dynamic role that will develop bespoke AI-driven tools to automate motor insurance claim analysis, enhancing efficiency and accuracy. The KTP will embed advanced machine learning capabilities, reduce case turnaround times, and unlock scalable growth, transforming data handling in the UK's high-volume, fraud-prone motor insurance … challenge will be understanding the complexity of the motor insurance industry, including the end-to-end process and navigating regulatory frameworks, requiring rapid learning and close collaboration with domain experts. The key objectives for this KTP Project are the following: To gain a deep understanding of Whichrates business goals ...

data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop ...

Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms Experience using UML/SysML Security Requirements Due to the nature of the work: Candidates must hold active SC clearance ...

warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to support the delivery, deployment, and operationalisation of machine learning models click apply for full job details ...

objectives: Lead the design and development of a Digital Asset Management Platform (DAMP) for housing retrofit and upgrade projects; Develop and deploy advanced machine learning models for property data analysis; Establish robust and reproducible data pipelines and ensure data quality across multiple sources; Collaborate with stakeholders to define ...

looking for an AI Security Consultant to help secure the next generation of AI, GenAI and ML platforms inside a large, complex, highly regulated environment. This is a hands-on contract role sitting at the heart of secure development - shaping how AI is designed, built and operated securely by default … bolted on later. What you'll be doing Embedding AI security controls into DevSecOps pipelines Defining secure patterns for ML models, GenAI apps and AI agents Advising engineering teams on real-world AI threats (prompt injection, model poisoning, data leakage, unsafe model formats) Evaluating and onboarding AI security tooling (model ...

work ETL/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit … learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot , etc. Ability to translate complex graph or AI concepts to varied audiences. ...