176 to 200 of 314 Machine Learning Jobs in England with Remote Work Options

to help grow and develop the Data environment. Skills & Experience: Highly organised and has experience in running projects. Highly competent with MSSQL Predictive modelling Machine learning Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: Up to £85,000 basic salary Bonus opportunity Remote working more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

field. Proficiency in handling behavioural data and modeling. Prior experience in the Health/Pharma industry or domain knowledge. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively conveying technical concepts to both technical more »

ESXi/Hyper-V/KVM), Linux (Ubuntu) -Python, Java -ActiveMQ, Redis -PostgreSQL, TimescaleDB, NoSQL -Flask, HTML/CSS, Plotly, JavaScript/jQuery, -Simple Machine learning Please note that my client has a couple openings as a Full Stack Developer and the salary is dependant on experice. This more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM, 3D more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

development, and QA, to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud more »

of various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills more »

a bank or fintech startup. Previous experience mentoring/managing more junior analysts. Strong analytical skills, with proficiency in SQL. Experience leveraging automation and machine learning to tackle fraud and AML. Well-versed in implementing and enhancing security measures. The ability to work and collaborate with other members more »

development, and QA, to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud more »

are told to tier 1 and tier 2 insurers globally. Their software and enterprise products leverage SaaS, Cloud, Data Management, Analytics as well as Machine Learning and AI and is built with Angular front end, with C# .NET Core Microservices hosted on Azure.. They are now looking for more »

background including numerate degree (or equivalent experience) Data science skillset, including coding experience in Python, R or similar language Understanding of Artificial Intelligence and Machine Learning techniques and their application to business problems Development in cloud-based environments. Our Locations: We are open to talk to major projects more »

perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community more »

perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community more »

connectivity techniques to ensure that audience insights can then be fed directly into campaign targeting to drive efficiency and effectiveness. Activation Algorithms – algorithms leveraging machine learning to support the optimisation of campaign activation using a variety of contextual factors to automatically improve bidding and targeting selection to drive more »

Skills required: 3 + years exp with .NET 1+ years exp with Blazor (including UI/UX desirable) Previous experience with Testing Experience with ML/AI desirable Experience with SQL Experience with AZURE/AWS (CI/CD pipelines etc) For the full job description and company details please more »

Be the technical SME for the application of Data Analytics Experience required: Experience using SQL & 1 other programming language (R/Python) Experience using ML algorithms is preferred Proven experience scoping and delivering complex analytical projects Data visualization/regression/data storytelling more »

Be the technical SME for the application of Data Analytics Experience required: Experience using SQL & 1 other programming language (R/Python) Experience using ML algorithms is preferred Proven experience scoping and delivering complex analytical projects Data visualization/regression/data storytelling more »

company, that is rapidly expanding in the UK! This innovative company is renowned for its space-resilient computing infrastructure, powered by unique AI/ML processors. Their software-empowered systems bring Earth-like computing capabilities to space and have been successfully deployed in over 50 deep space and satellite missions more »

Photoshop, Illustrator ). Knowledge of version control systems ( GIT ) and CI/CD processes ( Azure Devops preferred). Bonus Points: Experience with AI/ML technologies, REZ package management, and Unreal Engine. Familiarity with OEM CAD and complex data sets. Experience in the automotive industry. The agency is offering a more »

to their Development Team. They are dedicated to delivering smart and digital operation solutions utilising and leveraging the likes of Data Analytics, Automation and Machine learning. Opportunity: My client is looking to expand their team and seeking a versatile Senior Software Developer with leadership experience that specialises in C# more »

on Google's operating systems hosting all their applications on GCP. They heavily utilise data and have a focus on improving their AI/ML capabilities. You will be the most senior DevOps engineer on the projects with full autonomy to lead from the front. You will have the freedom more »

and closedown activities. Experience In the Following Areas Would Be Advantageous Awareness of geospatial systems, data, and technologies A profound understanding or experience in machine learning. Testing with Azure Cloud and good knowledge of the Azure Portal or Azure DevOps (or similar). Demonstrable knowledge of continuous integration/ more »