1 to 25 of 39 Contract Machine Learning Jobs in England

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 »

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 »

Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to DataOps Exposure to dataproc or similar more »

ideally with Knowledge of the Defence Digital and StratComm customer landscape. In addition, you will have: A passion for emerging technologies (e.g. AI/ML, quantum computing) Hands on development experience with Python Demonstrable experience of ethical hacking Ability to work customer facing Experience leading the implementation & deployment of complex more »

My client, a Software Development Consultancy, are looking for an Azure Machine Learning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for Machine Learning and AI Solid understanding of Cloud architecture and networking for Azure … solutions Experience deploying machine learning & large language models Infrastucture as Code (e.g. ARM Templates, Terraform) Establishing CI/CD Pipelines Proficiency with Python programming Understanding of data science methods and best practices Rate : £525 - £575 Inside IR35 Location : London/Hybrid (2x days per week on-site) Contract more »

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 »

us with problems that need genuine thought, intelligence and knowledge; we're not just putting bodies on seats. The Project: We are seeking an ML Ops Engineer to join a newly formed centralised MLOps team to build and support tools and setup automation that improve the efficiency and productivity of … Data Scientists. The ML Ops Engineer will work closely with and support Data Scientists and Engineers in delivering solutions that bring cost savings to the business. Required Skills/Experience: Ability to code (or learn quickly) multiple languages (python, Java, JavaScript, HTML, golang) Able to pick up multiple technologies and … Pauls Cathedral and shopping Centre. The office features a roof terrace with comfortable chairs and tables and you can enjoy our rather popular coffee machine, teas, biscuits, cans of drinks etc. more »

Azure Machine Learning Engineer 06 Months initially INSIDE IR35 London (Hybrid) £500/day Active SC Clearance required iO Associates is seeking an Azure Machine Learning engineer to work for a company that develops software that supports the provision of essential services to citizens worldwide. Over … that delivers pilot use cases on Azure, you will be assisting the team in upskilling in these tools. Skills and experience required Proficiency in machine learning and artificial intelligence utilising Microsoft Azure technologies, along with a solid understanding of cloud architecture and networking for customised solutions. Infrastructure experience … such as code deployments Knowledge of data pipelines for operations involving machine learning. Familiarity with implementing huge language models and machine learning models. Familiarity in setting up CI/CD processes. This is an urgent requirement and they're looking to interview next week so if this more »

set for release purposes Desirable • Proven experience of Oracle ODI • Familiarity with Snowflake • Experience with collaboration tools i.e., Atlassian products (Jira, Confluence) • Understanding of machine learning or data science • Experience with working on the cloud, preferably with AWS • Practical understanding of AWS Code Family • Reporting layer experience with 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 »

Good working knowledge of Akka HTTP and Akka Streams is required to support existing services. * Looking into how our personalisation services can evolve with machine learning. * Having the freedom to self-organise as part of a cross functional agile team. * Refining the team's processes to continuously integrate and more »

Job summary We are seeking an enthusiastic and highly motivated individual to join the Software Development team at Lancashire Teaching Hospitals NHS Foundation Trust. You must have a relevant degree or equivalent experience in software development. Your focus will be more »

and data science tools and techniques. Experienced using one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc. Highly skilled in Azure Machine Learning and Azure DataBricks Knowledge and experience of how to maintain data, tools and processes to generate reproducible analysis and implement robust and more »

technical concepts to non-technical stakeholders. - Proven ability to work in a fast-paced, dynamic environment and manage multiple priorities Preferred Qualifications: - Experience with machine learning and AI techniques. - Knowledge of data governance and compliance best practices. - Certifications in Palantir Foundry or related technologies. Working Conditions: - This position more »

and architecture from system requirements • A structured approach to firmware design (RTCA DO-254 or similar) • Cryptography and anti-tamper techniques • Artificial Intelligence including machine learning and genetic algorithms • Electronics test methods and equipment 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 »

Django, Flask). Strong understanding of software development principles and methodologies. Experience with databases (SQL and NoSQL), data modelling, and data structures. Familiarity with machine learning frameworks (eg, TensorFlow, scikit-learn) is a plus. Strong communication and leadership abilities. Proven experience working on Front Office projects and collaborating 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, especially with the newer technologies and frameworks in LLMs and Gen AI. specifically Generative AI, LLMs, etc, and someone who understandsthe AI/ML life cycle, tools and frameworks used for those niches. As a Technical Product Manager you will be comfortable leading the development of this product and 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 »

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 »

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 »

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 »

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 »