1 to 25 of 33 Contract Machine Learning Jobs in England

Machine Learning Engineer £700-800/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 be responsible for establishing best practises and developing/deploying core ML/AI Algorithms required to tackle data science challenges. 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 experience is desirable (developing GCP machine learning services) Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine more »

and domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in … regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will … skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the more »

and domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in … regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will … skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the more »

and domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in … regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will … skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the more »

Azure Machine Learning Engineer (SC Cleared) - 6 months - £525p/d Inside IR35 Role: Azure ML Engineer Location: Remote 60% - London 40% Rate: Up to £550p/d Inside IR35 Been working with Azure ML tools for a while? Experience deploying data solutions on Azure cloud? Would you … like to be the lead of a team of data scientists in their ML transformation for one of the most well established and prestigious Government organisations? If that's caught your attention then this could be for you. We're working with a consultancy who are assisting a large Government … established team and they're looking for an individual to work with them in upskilling and being involved in the development of MS Azure ML capabilities. The role itself will be pivotal in future programmes that this team carries out and will form a number of projects that the data 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 »

to communicate effectively with data scientists, analysts, and business stakeholders is essential. Good to have skills; Machine learning libraries: Familiarity with Spark ML or other machine learning libraries in Scala can be advantageous. Cloud computing experience: Experience with cloud platforms like AWS, Azure, or GCP for more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

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 »

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 »

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 »

externally, to build awareness and drive adoption of conversational AI solutions. - Stay up-to-date with the latest trends and advancements in AI and machine learning to continually enhance product offerings. Qualifications: - Bachelor's degree in Computer Science, Engineering, Business, or a related field (Master's preferred). … Proven experience (3+ years) as a Product Manager, with a focus on AI, machine learning, or related technologies. - Candidate needs to have Gov experience and working to GDS standards would be ideal - Strong understanding of conversational AI technologies, natural language processing (NLP), and chatbot frameworks. - Exceptional analytical and more »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

thrive in a fast-paced, agile environment? Do you have a knack for Scala and a desire to push the boundaries of personalization with machine learning? We are looking for an experienced Scala Developer to join our dynamic team on a contract basis, working with a high-profile … leveraging technologies like Kafka, Cassandra, Kubernetes, GCP, and AWS. Utilize Akka HTTP and Akka Streams to maintain and enhance existing services. Innovate and integrate machine learning techniques to advance our personalization capabilities. Operate within a self-organized, agile team , taking ownership of your work. Advocate for and implement more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you more »

implement computational strategies for analysing and integrating multi-omics data, with a specific focus on proteomics and other relevant omics datasets. Use statistical and machine learning approaches to identify predictive safety markers and build robust predictive models for safety assessment in drug development. Contribute to the design and … languages such as R or Python, and experience with bioinformatics tools and databases commonly used in omics data analysis. Strong understanding of statistical methods, machine learning approaches, and data visualization techniques for omics data analysis and predictive modelling. Excellent communication and collaboration skills, with the ability to work more »

complex topics clearly. Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. more »

and technology tools and solutions (including cloud HR systems, analytical tools and software, visualisation and reporting tools and planning software and latest AI/ML technologies); in order to leverage our employee data for operational reporting and strategic insights, whilst also understanding the latest trends to drive innovation. We are more »

Azure RBAC, network topologies, security principles, firewalls and technical problem solving. Experience working within an Agile framework, Jira and Servicenow. Hands on experience with machine and application management with InTune. Strong understanding of CI/CD Pipelines in a globally distributed environment using Git, Jenkins, Docker registry, etc. Hands … azure cloud based services in a continuous delivery using IAC toolset such as Terraform, Bicep and ARM. Knowledge on Hashicorp packer to build automated machine images in Azure. Experience with implementing an API architecture using Azure API Management , including advanced knowledge on services like Azure API Gateway, Azure Logic … the financial services industry and their IT systems. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Networking People (UK) is acting as an Employment Business in relation to this vacancy. 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 »

systems, or products Proven experience as the technical lead across multiple product delivery teams building web applications, customer facing data products and/or machine learning systems Experience of developing applications as part of a large globally available platforms Experienced in evaluating and participated in competitive analysis of more »

economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statistical modelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the company Collaborate closely more »

reporting and business intelligence and visualisation platforms (such as MS Power BI) Significant experience with building and exploiting data models, statistical or predictive analytics, machine learning or artificial intelligence What you'll get in return 3-month contract, remote based role but will be required to go on more »

and conversation design, with a focus on voice AI, chatbot, and IVR systems. Strong understanding of natural language processing (NLP/NLU) technologies and machine learning Demonstrated ability to design and implement complex conversational flows, considering factors such as user intent, context, and system capabilities. Experience working in more »

Data Scientist to join their AI team on a contract basis. The central AI team consists of almost 80 people, delivering Data Science and ML projects into production to improve a number of aspects for the business or customers. You will be assigned to a specific project in the Marketing more »