1 to 25 of 403 Permanent Machine Learning Jobs in the UK excluding London

Are you passionate about using AI and machine learning to make a real-world impact within the world of Financial Crime? Do you thrive on solving complex problems and uncovering hidden patterns in data? Join this forward thinking Fintech, help them protect our customers from financial crimes, starting … Machine Learning algorithms and models. Monitoring with BI Tools: Use Business Intelligence tools to monitor key product metrics and the performance of ML models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis … Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency 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 AMRT1_UKTJ ... more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages more »

team to understand the requirements and specifications of software projects- Design, implement, and maintain high-quality, scalable, and robust python code and libraries- Apply machine learning techniques and algorithms to solve complex problems and generate insights from large and diverse datasets.- Troubleshoot, debug, and optimise the performance and … software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web development, RESTful APIs, cloud computing more »

closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by machine learning and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping a … or C++) or a record of publishing at top-tier conferences or journals (ICLR, ACL, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.) Experience with ML frameworks like Pytorch or Tensorflow Experience with ML inference frameworks such as ONNX Runtime or CoreML Additional or Preferred Qualifications: Experience with distributed training libraries … models. Collaborate with engineering and product development teams. Contribute to a real-time system involving multiple components. Assist in identifying and addressing issues in ML frameworks and associated hardware. Mentor junior engineers and contribute to team knowledge-sharing sessions. LI-DNI more »

Account Executive team, coordinating sales efforts with Cadence’s Global and regional account teams to address Hardware assisted verification opportunities with automotive, AI/ML, 5G, Hyperscalers and other high growth market segments. The candidate will have a strong sales background, strong leadership abilities, along with technical background across multiple … to help educate sales teams and drive successful sales campaigns. There is a significant amount of new technologies and solutions based on AI/ML, 3DIC and Chiplets design and verification that would require tight coordination and execution between the customer, Sales, and RnD. The successful candidate will help coordinate more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages … modelling and then implementation in rating Analyse data, interpret output and communicate results to a non-technical audience Build and test Statistical models and machine learning algorithms Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Support the more »

hard-working professionals.The successful applicant will be able to demonstrate the following:Experience leading software development teams.Knowledge of AI technology including Generative AI and Machine Learning.Proficient in cloud computing technologies such as Microsoft Azure.Advanced knowledge of C# and dotnet.Working knowledge of:JavaScript and related client-side frameworks (e.g. VueJS more »

including Multi-skilled Software Engineering, Cloud Engineering & Security, UX, Site Reliability Engineering, Front-End design, Agile, Solution Architecture, RF Software Engineering, Data Engineering, and Machine Learning Operations. Software Engineers Using various methods, languages and frameworks, you’ll collaborate with a variety of teams to deliver solutions to real more »

including Multi-skilled Software Engineering, Cloud Engineering & Security, UX, Site Reliability Engineering, Front-End design, Agile, Solution Architecture, RF Software Engineering, Data Engineering, and Machine Learning Operations. Software Engineers Using various methods, languages and frameworks, you’ll collaborate with a variety of teams to deliver solutions to real more »

provide you with the opportunities to develop and achieve a rewarding and fulfilling career. We promise an exciting future delivering data led orchestration and machine learning to support the outcomes of the Platforms. You’ll be working in a multi-discipline, multi-skilled team, providing varied and diverse more »

experience programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server.Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial.Applicants are expected to have … are already based in the UK or have pre-existing links to the UK.Keywords: C#.NET, WinForms, WPF, SQL Server, Real-time 3D Structural Modelling, ML/AI, Cloud Computing, Edinburgh -> SurreyPlease note: even if you don't have exactly the background indicated, do contact us now if this type of more »

Company Description Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machine learning models. As part of … your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease. What will you do as a Lead Machine Learning Engineer at N Brown? Lead a team of engineers to create, maintain more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

Knowledge of source code control using GIT repository and version control using Gerit Good knowledge of SAP PAL, APL and AFL, HANA’s native machine learning libraries; Experience in using these libraries on at least one project. Understanding of integration between HANA Artifacts and SAPUI5 applications Knowledge of more »

like Torque Management, Traction Management & Thermal Management. Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. An … software testing and quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Duties & Responsibilities Prepare Technical Roadmap & Lead New Function Development. Prepare technical roadmap for the subject area … supervisory controller functions. Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research. Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support more »

you will be encouraged to take Associate, Professional and Speciality certifications and additional training that is relevant to your role. We have a successful learning and development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As a … applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk Capital more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

maintain tests regardless of their technical skill, and that quality is a key driver for change and growth. The latest advances in AI and Machine Learning have been leveraged to produce a low-code/no-code test automation platform that thinks like a human, empowers everyone to more »

and some of the followng: Experience with linux development, especially linux kernel. Experience with NXP, Qcom, Renesas chipsets Experience with video, computer vision, or machine learning applications. Experience with Yocto. Experience with algorithm development - especially in computer vision. Great opportunity for a Senior Embedded Software Engineer to to more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »