1 to 25 of 80 Contract Machine Learning Jobs in the UK excluding London

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

collaborate extensively with scientific and operational teams to ensure the robustness, scalability, and reliability of AI tools. By implementing automation and standardisation throughout the ML lifecycle, your work will support faster, data-informed decision-making and innovation. Key Responsibilities: Design, build, and maintain resilient Machine Learning Operations pipelines … learning and large language models in practical operational settings, transforming research findings into functional business tools. Support the development and evaluation of ML models, including both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardised, reusable workflows that ...

that supports machine learning workflow execution and deployment. Optimise data processing systems for throughput, scalability and efficiency. Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities. Identify and resolve bottlenecks, performance issues and system failures. Contribute to engineering best … collaboration skills. Desirable Experience Experience working within large-scale data or platform engineering environments. Exposure to machine learning infrastructure, pipelines or production ML systems. Experience supporting data processing frameworks, orchestration platforms or workflow tooling. Familiarity with JVM-based distributed systems. Experience working within highly scalable cloud or distributed ...

solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/… scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel … office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel … office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the de click apply for full job details ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead the development and delivery … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

ensure consistent and reliable data collection. Cleanse, validate, and quality-check data to ensure accuracy and integrity. Support the development, refinement, and testing of machine learning models. Conduct practical validation activities to assess model accuracy and performance. Compare model outputs against real-world test results and recommend improvements. … collecting, analysing, and validating large data sets. Strong analytical and problem-solving skills. Knowledge of data cleansing, quality assurance, and validation techniques. Exposure to machine learning concepts and predictive modelling. Experience using tools such as Python, SQL, Power BI, Excel, or similar analytical platforms. An understanding of machine ...

Month FTC, Manchester, COR7567 Are you a Senior Software Engineer with strong C++ and Python experience looking to work on cutting-edge AI and machine learning technology? The Role As a Senior Software Engineer, you'll play a key role in designing and developing software that powers advanced … biometric identification systems. Working across the full software lifecycle, you'll help build and optimise machine learning inference pipelines used in real-time systems. You'll develop production-grade applications in modern C++, contribute to automation and testing frameworks using Python, and help ensure systems are scalable, secure ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

looking for a Machine Learning Ops Engineer to help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational ...

Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights … best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

/GitHub Actions) Familiarity with Java Familiarity with Google Cloud Platform or AWS Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications Familiarity with Neo4J or other graph databases is an added advantage Familiarity with data visualisation (Tableau, PowerBI) Knowledge of, or affinity ...

improved. Investigate, troubleshoot, and resolve issues arising within AI-driven automations, including model performance, extraction accuracy, classification outcomes, and production incidents. Monitor and optimise machine learning models, extraction frameworks, and communications classification performance to maximise business value. Lead the implementation of Document Understanding solutions, including classification, extraction, validation … classify, and route large volumes of unstructured communications such as emails, forms, and correspondence. Work closely with business stakeholders to identify opportunities where AI, machine learning, and intelligent automation can deliver measurable efficiencies and service improvements. Develop scalable and maintainable intelligent automation solutions that combine AI capabilities with ...

Swindon. This is an exciting opportunity to work on data-driven initiatives that support critical services and decision-making. Key Responsibilities Develop and deploy machine learning and AI models to solve complex business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical … findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise in AI and machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills ...

solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert … applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist ...

enhance IT service operations and overall business operations. Lead proof-of-concept initiatives to automation resolution of events and incidents. Introduce and implement new machine learning models and aiops features. Process Improvement: Responsible to identify service optimisation initiatives to mature the overall service. Continuously improve IT and business … observability and automation technology tools. ITSM Tooling: Responsible to identify opportunities to increase the proactive prediction, detection and restoration of events and incidents using machine learning models. Responsible to leverage the aiops, service now to increase the automation of resolution. Design and oversee the implementation of ITSM tooling ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning. The Role and Deliverables Build, validate, and deploy machine learning models to solve business problems Translate complex data into actionable insights for non-technical stakeholders Work with structured and unstructured datasets to uncover … clear documentation and communicate findings effectively Support ongoing optimisation and monitoring of deployed models Your Skills & Experience Strong experience in data science or applied machine learning within a commercial environment Proficiency in Python or R, with experience using relevant libraries and frameworks Experience working with SQL and handling ...

data science strategy, aligning with broader business objectives * Build, mentor, and lead a high-performing data science team * Oversee the development and deployment of machine learning models and advanced analytics solutions * Partner with senior stakeholders to identify opportunities where data science can drive commercial impact * Establish best practices … data science solutions and clear reporting of impact Your Skills & Experience * Strong experience leading data science teams and driving strategic initiatives * Deep expertise in machine learning, statistical modelling, and advanced analytics techniques * Proficiency in tools such as Python or R, and familiarity with modern data platforms * Experience translating ...

using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence. The Role and Deliverables … Lead platform releases and upgrades, including planning, testing, communication and rollback where required. Implement and maintain security, risk and compliance controls for data and machine learning workloads. Manage the platform roadmap, cost optimisation activities and key supplier relationships. Your Skills & Experience Strong experience operating Palantir platforms in production ...