1 to 25 of 88 Contract Machine Learning Jobs in the UK

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

Intelligence & Machine Learning) £400 - £500 per day | Remote/UK-Based | Contract/Freelance Are you an expert in Artificial Intelligence (AI) and Machine Learning (ML) looking for flexible freelance opportunities? We are seeking an experienced AI Trainer to deliver AI and Machine Learning training courses to professionals and organisations across the UK. As … provider of IT and technology training , you'll deliver high-quality, hands-on AI training programmes that help businesses harness the power of modern AI technologies. Responsibilities ? Deliver AI, Machine Learning, and Data Science training courses virtually or in-person ? Create an interactive, engaging learning experience for corporate teams and professionals ? Share best practices and real-world … AI use cases to enhance learning outcomes ? Keep training content up-to-date with emerging AI technologies and trends Requirements ? Proven expertise in AI, Machine Learning, Deep Learning, and Data Science ? Experience as a trainer, instructor, or consultant in a technical field ? Strong communication and presentation skills for diverse learners ? Familiarity with AI tools such as More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Role : Project Manager – AI & Machine Learning Research Location: London, UK- Hybrid role Duration: 5 Months … Possible extension) We're seeking a Project Manager to support a high-impact, multidisciplinary AI research team working at the frontier of machine learning , generative AI , and ML agents . In this role, you’ll bring structure to complex technical initiatives, coordinate across diverse teams, and help ensure the success of innovative research programs that shape the future … Coordinate third-party dataset approvals, project reporting, and research documentation Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed More ❯

Summary: We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems … machine learning, or a related field. Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

Summary: We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems … machine learning, or a related field. Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data … to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize … is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra More ❯

Job Description: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with … If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift … concept drift, model performance degradation signals and ensure model retrain. Implement CI/CD pipelines for ML models and automate the deployment. Maintain relevant documentation. Requirements: Bachelor's degree in a relevant field. Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes. Strong understanding of banking and More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with … and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science … and forecasting, preferably in a commercial or industrial setting. * Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling. * Experience with machine learning algorithms. * Proficient in data visualization techniques to effectively communicate insights from time series data. * Strong problem-solving skills and ability to handle complex and unstructured data. * Must More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

SOFTWARE ENGINEER - DATA & ML INFRASTRUCTURE 6-MONTH CONTRACT £450-£550 PER DAY (OUTSIDE IR35) This role offers a great opportunity for a Software Engineer to join a high-performing data function building out infrastructure for cutting-edge ML and LLM use cases. You'll work closely with Data Engineers and Data Scientists to design clean, production-ready systems that support … model training, fine-tuning, and deployment. The environment values autonomy, quality, and technical curiosity, with the freedom to shape best practices in a fast-scaling ML context. THE COMPANY This is a tech-forward business investing heavily in AI and machine learning, with a focus on scalable systems and real-world impact. With a modern data platform already … in place, they're now scaling up their ML/LLM capabilities and need a strong software engineer to help operationalise model development workflows. You'll be joining a collaborative, cross-functional team working at pace to solve complex technical challenges. THE ROLE You'll sit at the intersection of data and machine learning, building services and tooling More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

recruit a AI Engineer on a 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 from concept to production … and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models … best practices around experimentation, evaluation, 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 Solid understanding of machine More ❯

recruit a AI Engineer on a 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 from concept to production … and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models … best practices around experimentation, evaluation, 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 Solid understanding of machine More ❯

Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal part in assessing and managing risks related to AI-driven projects … across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to identify and mitigate risks. Translate complex technical risks into business-friendly … models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. More ❯

undergoing a major transformation of their data infrastructure. You'll be a key player in modernising their data platform with Databricks and Azure, while supporting scalable data pipelines and machine learning workflows. THE COMPANY This business is investing heavily in data as it digitises operations across its risk, product, and customer intelligence teams. They're building a modern … in-class tools across the Azure stack. Your responsibilities will include: Designing and deploying ETL pipelines using PySpark and Delta Lake on Databricks. Supporting the deployment and operationalisation of ML models with MLflow and Databricks Workflows. Building out reusable data products and feature stores for data science teams. Tuning performance across clusters, jobs, and workflows. Migrating legacy systems (SSIS/… Delta Lake , and PySpark . Strong background in data engineering and distributed processing . Hands-on knowledge of Azure Data Lake , Data Factory , or similar orchestration tools. Experience with ML model deployment , preferably using MLflow or similar tools. Proficient in SQL , Python , and cloud-based data pipelines. Comfortable in fast-paced, agile delivery environments. DESIRABLE SKILLS Experience building or integrating More ❯

Objectives Integrate data science models and algorithms into existing applications to enhance decision-making processes and provide data-driven insights. Collaborate with data scientists to deploy, monitor, and maintain machine-learning models in production environments. Develop data pipelines and extract, transform and load (ETL) processes to support data integration and analysis. Experience with data science integration, machine-learning models, and data-processing frameworks is essential. Collaborate with cross-functional teams to design, implement, and maintain CI/CD pipelines for continuous application deployment and integration. Monitor, troubleshoot, and optimize application performance, ensuring high availability and reliability. Implement automation strategies to streamline deployment, configuration management, and infrastructure scaling. Align with development teams to assist in ensuring … resolving complex technical issues related to applications. Maintain detailed documentation of systems, configurations, procedures, and troubleshooting steps. Share knowledge and best practices with team members to foster a collaborative learning environment. Automation/Scripting (Python, Shell, SQL ) and development skills for administration, monitoring and support tools. Required Skills/Experience The ideal candidate will have the following: Expert-level More ❯

to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting with ability to … Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across More ❯

analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - Expertise in statistical programming languages like python , and Scala/java is an added advantage. Open Telemetry: Expertise in open telemetry stack with components like Virtual machines, Middleware like IIS/Apache, hypervisor, database etc. The conceptual … of open telemetry OTLP format and making it structure Correlation of the streaming OLTP streaming data with many different components and convert it into action based on the applied ML on it More ❯

a hands-on Infrastructure Engineer with proven experience in the physical and technical deployment of AI-ready environments. This role is critical to building the foundational infrastructure that supports machine learning, high-performance computing (HPC), and GPU-based workloads. The ideal candidate will be experienced in deploying compute nodes, networking, storage, and supporting infrastructure in data centre or … Ability to read technical diagrams, rack elevation plans, and cabling schematics Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.) Desirable Skills: Previous work on AI, machine learning, or HPC cluster deployments Experience with NVIDIA GPUs, DGX systems, or custom AI racks Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools Certifications: CompTIA Server+ More ❯

via an Umbrella company. About the role: We are looking for talented and experienced data scientists with experience to join our programme. Solid knowledge and experience of AI and ML is essential. Key responsibilities include: Design and develop AI/ML based solutions Work with other data scientists to build and deploy production-level solutions Troubleshoot and debug code Work … business problems About you: 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 More ❯