1 to 25 of 55 Contract Machine Learning Jobs in the UK excluding London

public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data … Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools ...

Role:- Software Engineer - (Machine Learning/AI Research) Location: London, UK (hybrid, 3 days onsite) Contract: 6 months (extension possible) About the Role We are looking for a Software Engineer III (Machine Learning/Research Engineering) to join a cutting-edge AI research team based … cross-functional teams to define and execute research roadmaps Translate research insights into scalable engineering solutions Implement high-quality code using Python and modern ML frameworks Contribute to experimental design and evaluation of large-scale AI models Minimum Requirements 2+ years of experience in machine learning ...

Machine Learning Engineer (Python/MLE ) 6 Month Contract £650 - £750 Remote Umbrella Urgent Start We are looking for a number of MLE/Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability … major public cloud provider (GCP, AWS, or Azure). Experience with BigQuery would be good. Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery, and associated tooling. Experience with workflow tools like Airflow or Kubeflow. Familiarity ...

Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these … clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data ...

Industry: FTSE 100 - Insurance We are seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services … using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure ...

Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship … opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning ...

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 ...

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern … ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: * Design and implement pipelines for training, evaluating, deploying, and monitoring detection models * Productionise detection models ...

Principal AI Solutions Architect - Pre-Sales, AI, RAG, Machine Learning, Data and AI standards, Large Language Models, Generative AI, Delivery, AI Propositions, Data Solutions, Bid Response, Technical, AWS Sagemaker, AWS Bedrock, Azure AI Platform/Machine Learning, Jupyter, ChatGPT, Claude, Llama, and OpenAI. We have … client engagements Demonstrated expertise in enterprise and solution architecture, with a strong background in cloud-native and agile methodologies. SME in Artificial Intelligence and Machine Learning Competent in Generative AI and Large Language Models (LLMs) such as ChatGPT, Claude, Llama, and OpenAI. Strong knowledge of data architectures Cloud ...

position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts … stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest … Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption ...

design, implementation and delivery of Automated Intelligence capabilities. This role requires strong technical expertise, stakeholder management and a deep understanding of automation, AI/ML integration and secure-environment delivery. Key Responsibilities: Design and Development Design, build and deploy automation solutions integrating AI/ML models into existing systems … recommendations for further optimisation. Required Skills and Experience Technical Skills: Strong proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge ...

Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption … enterprise data modelling Dimensional modelling (Star Schema, Snowflake Schema) Data pipeline scalability and reliability design. AI/Data Science Exposure Experience supporting AI/ML data pipelines and data preparation for machine learning models. Understanding of predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers … 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 ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

threats. Key Responsibilities Design, build, and optimise data pipelines and data assets to support cybersecurity use cases Develop and deploy advanced analytics, AI/ML models, and data-driven security solutions Engineer and support cloud-based platforms and data environments (Azure preferred) Contribute to cybersecurity R&D, prototyping new capabilities ...

military, or highly regulated secure environments Knowledge of air-gapped or restricted network architectures Exposure to big data platforms, analytics tooling, or AI/ML pipelines Background in site reliability engineering (SRE) or reliability-focused platform design Why This Role? Work on cutting-edge secure military systems High-impact engineering ...