1 to 25 of 42 Contract Machine Learning Jobs in England

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

methodologies, cloud-based solutions, Digital Evolution, API Management and Intelligent Automation. Supplier management and project management are key to manage outsource partners. Knowledge of Machine Learning and AI technologies is desirable Excellent presentation and reporting skills to give regular updates of progress to management and executive layer Knowledge more »

You will: Deploy industry-leading models to customers globally Conduct Proof-of-Value exercises with customers Contribute towards the research and development of new Machine Learning solutions Support in-production models, ensuring that they meet their user's needs over time You must have: Extensive experience developing and … deploying machine learning models at scale within financial services (ideally within financial crime prevention based projects) Very Strong Python skills and strong familiarity with the data science stack (pandas, scikit-learn and network) Have experience working in a, dynamic and scientific manner and creating high-quality models Be more »

with experience within new business/prospecting - Please only aply if you have demonstrable experience in these areas. Responsibilities: Utilise advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client … development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behaviour, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating more »

demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing more »

Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London (3 days onsite a week) Are you a Senior Machine Learning Engineer looking for a challenge working with a Global Marketing Agency? The Senior Machine Learning … have the chance to collaborate with large technical teams and work in a fast past, forward thinking mindset. We're looking for the Senior ML Engineer to be involved in their ongoing and upcoming projects which will take you past the initial 3-month period. The Senior Machine Learning … If you're interested in this contract opportunity then please let reach out to me! Experience needed for this position (Please read carefully) Senior Machine Learning Engineer with over 5+ years of experience Python experience SQL experience AWS Redshift experience Predictive Modelling Clear and concise communication skills Senior more »

We're looking for a Senior Data Scientist who brings with them a wealth of experience in Data Science with a strong background in Machine Learning experience and Data Engineering. The client are working on a number of large projects that could easily take this position past the … me! Experience needed for this position (Please read carefully) Senior Data Scientist with over 5+ years of experience Python experience SQL experience AWS experience Machine Learning experience Predictive Modelling Clear and concise communication skills Senior Data Scientist Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Define and enforce robust more »

be focused on identifying issues, troubleshooting, debugging and solving complex problems. Experience: Dev Ops PowerShell or Python, and a strong understanding of AI/ML libraries and frameworks Microsoft Azure Troubleshooting and Debugging Programming Languages: PowerShell and C# SQL/KQL/Kusto Contract Details: PAYE Contract - Competitive Rate/ more »

them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards and best practices. Requirements: Proven experience as a Python more »

Do you have a passion for data science, machine learning, and earth observation (EO)? Are you an expert in building robust and secure platforms for collaboration? Our Client (a world leader in environmental science) is seeking a skilled contractor to develop innovative platforms and infrastructure. These platforms will … support research, development, and learning initiatives in data science, machine learning, and EO. The Opportunity: In this role, you'll play a pivotal role in: Understanding user needs: You'll collaborate with stakeholders to gather requirements for platforms and infrastructure that support data science projects and hackathons. … with designing, building, and testing system interfaces. Technical know-how: Demonstrated awareness of relevant subject matter and a high-level understanding of data science, machine learning, and EO. Design thinking: The ability to translate business problems into effective technical designs. Communication skills: Excellent communication skills to bridge the more »

support to the cancer programme. What you will need Experience and technical expertise in advanced analytical techniques, including advanced statistical modelling and/or machine learning approaches for predictive analytics. A strong understanding of statistics and data manipulation skills. To be motivated by using data to solve problems more »

contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing … systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the … full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). more »

stack development concepts and technologies, including front-end frameworks (e.g., React, Angular) and back-end frameworks (e.g., Django, Flask). Knowledge of AI/ML techniques and algorithms, with the ability to apply them to software development projects. Solid understanding of software development methodologies, such as Agile or Scrum. Highly more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

detail of role responsibilities. Person Specification Qualifications/Education Essential Education to PhD/Masters or equivalent professional experience. Desirable Formal qualification in AI, Machine Learning, Informatics, or Computer Science Formal qualification in complex programme management Knowledge & experience Essential Proven experience of implementing AI, Data, or digital innovation more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

software, ready to be rolled out and implemented by a Sales focused Cloud Architect with an ability to secure UK eDV security clearance. With Machine Learning techniques, Encryption and Big Data tools, this firm have solved a critical privacy issue that will benefit National Security and Intelligence clients … and scalable solutions. Experience within government and consultative selling of B2B software Demonstrable experience working with Privacy technologies such as homomorphic encryption, SMPC, Federated Learning, TEE. Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly … those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques. Experience leading pre-sales activities and managing RFPs/RFIs more »

software, ready to be rolled out and implemented by a Sales focused Cloud Architect with an ability to secure UK eDV security clearance. With Machine Learning techniques, Encryption and Big Data tools, this firm have solved a critical privacy issue that will benefit National Security and Intelligence clients … and scalable solutions. Experience within government and consultative selling of B2B software Demonstrable experience working with Privacy technologies such as homomorphic encryption, SMPC, Federated Learning, TEE. Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly … those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques. Experience leading pre-sales activities and managing RFPs/RFIs more »

Senior Product Manager with AI (Artificial intelligence) experience specifically Generative AI, LLMs, etc, and someone who understandsthe AI/ML life cycle, tools and frameworks used for those niches. Working within the Blockchain space, my client is scaling up and the next goal is to build/define the first more »

is 2 years fixed term contract. GTTS builds products that help Amazon run the world's largest transportation network, using cutting-edge technologies and machine learning, all running on AWS. We are looking for someone who is passionate about technology, loves solving customer problems, and delivers the high more »

Lobentanzer in the Saez-Rodriguez Group at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge … the ecosystem of biomedical and/or clinical data resources Knowledge of human genetics, genomics, and/or drug discovery - or are interested in learning about these topics. Experience working with knowledge graphs (e.g., https://biocypher.org) and graph databases (e.g., Neo4j). Experience leveraging embeddings derived from … graph-based representations and/or machine learning. Experience building high-quality software and making frequent deployments as part of a regular software release process. Experience working with infrastructure-as-code, continuous integration, containers, Cloud infrastructure, and deployment. Interest in promoting your work and the ways we have solved more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »