151 to 175 of 965 Machine Learning Jobs in the UK excluding London

grow with us and shape the future of media and entertainment solutions? Let’s do it together! About the Job – Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity … Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. Key Responsibilities Develop ML models for: Wi‐Fi performance prediction and classification Anomaly detection in home networks and CPE telemetry Root‐cause analysis for subscriber connectivity issues Optimization of channel ...

Senior Researcher, AI - PhD/LLM/Deep Learning Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement learning and generative models. This a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading significant research projects in machine learning and AI Developing and implementing novel algorithms and solutions for team and company initiatives Providing technical guidance ...

ML algorithm development in the RF domain for electronic warfare South East England, hybrid working; to £58,000 + Benefits This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies. They research new algorithms … Requirements: Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains. Commercial or academic experience applying ML techniques to real-world problems. Experience leading high-quality research projects including publishing research to top-tier reviewed journals. Strong academics including a relevant ...

part of something bigger. As a Senior Data Scientist within Kainos' Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products - including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

experienced engineer looking to specialise further or you're ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development. … Role: You'll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation. Working with Python, SQL and leading ML frameworks, you'll build scalable pipelines ...

part of something bigger. As an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer, working … these to derive insights from data under guidance. Working knowledge of Python programming, with an interest in writing clean, efficient code for AI/ML solutions. Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Exposure to supporting ...

engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities. In this role … data analytics, machine learning or statistical techniques to real-world problems Desirable Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorch Understanding of data structures, algorithms, and software design principles If you're excited about this role ...

Inventing innovative machine learning systems to solve real-world problems in the defence sectorCambridge; to c£70,000 DoE + BenefitsThis innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create … classes of devices for the defence and security sectors. xxuwjjq As the world goes through a new industrial revolution powered by AI and ML, h... Considering making an application for this job Check all the details in this job description, and then click on Apply. ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

Hybrid - 2/3 Days On-Site) | Up to £65,000 + Bonus & Benefits An exciting opportunity has become available for an AI/ML Researcher to join an advanced research and innovation team developing next-generation Artificial Intelligence solutions for complex Defence, National Security and commercial challenges. This role … both technical and non-technical audiences Experience producing technical reports or research documentation Publications, open-source contributions or recognised research within AI/ML would be highly advantageous but not essential Must be eligible for Security Clearance (SC) and able to satisfy UK security vetting requirements ...

PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency in Python. This opportunity offers a hybrid work model, competitive salary up to £100,000, and a range of benefits in an inclusive work environment. #J-18808-Ljbffr ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

practical, secure and scalable AI solutions across the business. This is an exciting opportunity for an ambitious engineer with experience deploying AI and machine learning solutions who is looking to make a tangible impact within a well-established organisation. The successful candidate will play a key role … identify automation opportunities Evaluate emerging AI technologies and provide recommendations on future adoption AI Solutions Engineer Job Requirements 2-4 years' experience within AI, Machine Learning or Software Engineering Experience deploying LLM or Machine Learning solutions into production environments Strong programming experience using Python and/ ...

Data Scientist London or Leicester (2 days per week) Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both … deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...

continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high spatiotemporal resolution (Sentinel‐1 C-band … inclusion of temporal components and newly available datasets in foundation models remains limited. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real‐world applications. This PhD studentship (scholarship) leverages large‐scale Earth Observation data to evaluate and advance machine learning ...

genetics with genomics to address translational questions. Lead a team of direct reports and foster a culture of innovation, collaboration, and continuous professional learning within the team. Why You? Basic Qualifications: PhD or equivalent advanced degree in a relevant scientific discipline (e.g. statistical genetics, genetic epidemiology, biomedical statistics, computational … Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires ...

simulation using High Performance Computers. Application areas include Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. … Computers, such as Quantum Singular Value Transformation. Desirable Experience of parallel programming for high performance computing. Experience of simulation and modelling and/or machine learning for engineering. Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators Azure DevOps, Cloud compute architecture, and HPC system management ...

Graduate Business Development Consultant AI | Software | SaaS | Cloud | Machine Learning | B2B Technology Salary Base: £35,000-£38,000 + OTE + Excellent Career Progression Are you graduating with a 2:1 or above and looking for more than a typical graduate role? Our client is an award-winning … technology company developing innovative software platforms used by organisations across the UK and internationally. Operating at the forefront of Artificial Intelligence, SaaS, Cloud Computing, Machine Learning, NLP and Enterprise Software , they are investing in the next generation of commercial talent. This is a structured graduate programme designed ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

Event Hubs, and Azure Functions. Data Topologies: Build highly resilient, real-time ingestion pipelines feeding into ADX, Data lake, and cloud-native AI/ML workspaces. Digital Twin Modeling: Formulate and deploy Azure Digital Twins concepts to map complex physical operations to digital, event-driven architectures. Industrial Protocols & Secure Networking … consulting. Demonstrable track record of successfully delivering full-lifecycle digital factory or critical infrastructure projects (ISA-95 frameworks). Proven experience operationalizing AI/ML workloads within industrial or edge-constrained environments. Active, relevant certifications in Azure architecture (AZ-104, AZ-900, or equivalent IoT/AI specialties) are highly ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will … high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...