51 to 75 of 1,144 Permanent Machine Learning Jobs in the UK

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 »

data. With Zero Trust Data Security, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously more »

Senior Machine Learning Engineer London, UK (2 days in office per week) Salary: £80,000 - £100,000 per annum + discretionary bonus Are you a seasoned Machine Learning Engineer with a passion for cutting-edge technologies? Do you want your work to have a direct impact … now! Key Responsibilities As a Senior Machine Learning Engineer, you will: Leverage your minimum 5 years of experience in the AI/ML space to lead the development and deployment of advanced machine learning models. Apply your expertise in regression modelling and time series modelling to … deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R, or similar. Solid understanding of AI/ML technologies and trends. How to Apply: If you are an experienced Senior Machine Learning Engineer seeking a new challenge and believe you have more »

and Artificial Intelligence Products. You will lead a team of Machine Learning Engineers and Data Scientists that are continually experimenting with new ML/AI techniques and supporting the many Machine Learning models that are already key to Bazaarvoice’s business. You will work closely with … leadership and other teams to ensure the availability of our services, provide a stable and efficient platform, and enable other teams to strategically incorporate ML into their Products. You’re an excellent leader, communicator, innovative and self-motivated, with a positive approach to teamwork. You have a passion for people … years of Engineering Leadership delivering products at scale Hands-on experience with Machine Learning frameworks and algorithms Proven track-record of leading ML-enabled products from idea to delivering value in production Bachelor's Degree in Computer Science or equivalent Experience developing products on Public cloud Hosting platforms 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 »

for collaboration (London), a strong benefits package including a personal L&D budget with access to external library content, conferences and a career/learning path, plus a salary between £60,000 - £90,000. My client is entering their 5th year of business with an industry leading production software. … build new product features and expand their capabilities for their clients which includes global businesses such as Tesco, Virgin Media, Liberty Global & more. Using Machine Learning and Automation, the AI tool integrates with clients accounts and ERP systems to track, monitor and flag anything from fraud detection, over more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

people you know. You’ll be involved in shipping full stack applications dealing with modern front-end framework, cloud based services, workflow architecture and Machine Learning. You’ll need a strong sense of ownership, bias for action, agility, and creativity as well as a focus on the technical operations more »

/domain-specific Security considerations and best practice. Extensive real-world experience with Cloud technologies, particularly Azure. Up to date knowledge of AI and ML technologies, and Data best practices required to leverage them. more »

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning … be pivotal in advancing the development of the AI models, contributing to research, methodology development, data enhancement, and collection. Requirements: Strong educational background in ML or related topic, with a PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). … Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out more »

domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »

fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job Lead the development, enhancement, and maintenance of … cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex … looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this opportunity please apply or more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »

multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts … screen) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Please more »

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also … of the CPG space Strong project management and team management skills and ability to work with global teams A solid understanding of statistical and machine-learning algorithms is a plus Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

will vary dependant on experience. Key Responsibilities for this Senior Compute Library Engineer position: Developing high-performance kernels for use on NPU architectures by ML operators. Ensuring maximum efficiency and performance of existing kernels. Integrating kernels into NPU framework in collaborating with hardware and software teams. Conduct testing and debugging … in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture …/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send a copy of your CV to ts more »

Expert ability to troubleshoot issues and make system changes as needed to resolve issue. • Expert knowledge of computer hardware and software. • Experience in deploying ML models. • (optional) Experience in game development and 3D modeling. • (optional) Experience in developing/using physics simulators. Education: • Bachelor's degree in computer science, software more »

in AI-driven music solutions, offering innovative products like the Stem Player and StemFM app. Renowned for elegant design and ethical development, we integrate machine learning to create transformative music experiences. Our technology, which has been viewed nearly 1 billion times on TikTok, focuses on profit sharing and … to mass production Passionate & Impact-Driven: Your passion for Electronic Engineering is matched by your independent, impact-driven approach and strong decision-making ability Learning & Teamwork: You are proactive in learning and seeking help, thriving in collaborative environments that require clarity and cross-discipline teamwork What You Will … part of STEM’s compact, multi-disciplinary Engineering Team, you will tackle a variety of design and engineering challenges, fuelled by a passion for learning new technologies. We are looking for a dynamic and responsible individual to: Design circuits for STEM’s upcoming audio hardware products, taking ownership of 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 »

interests and perceived strengths. You could be involved with everything from new features for the web platform, data visualisation, internal tools, to AI and ML projects. ⭐ The Team There are currently around 20 engineers in the business, cross functional teams with around 6 engineers of all levels of seniority, specialising more »

models: you have an expert knowledge of the different delivery and deployment methodologies for data teams, such as agile data product development, AI/ML Ops and Analytics Ops, adapting these methodologies to clients’ objectives and organisational structure. An understanding of business architecture: you understand and can articulate the importance more »

Belfast? This company is known for it’s innovation, delivery, and culture. Their Belfast hub is at the centre of the tech community, promoting learning and diversity at all levels. They have a new opportunity for a Data Engineer to join their Digital function. AWS is a huge growth … cloud experience) Experience processing large volumes of structured and unstructured data Knowledge of data cleaning, wrangling, visualization and reporting Knowledge of data mining and machine learning - not essential but a bonus This role comes with a fantastic package – salary range from £55,000 - 60,000 plus 10% bonus more »

new levels of efficiency when working with complex financial data workflows. We are trusted by over 1 million SMBs worldwide. Our solutions embrace AI, machine learning and emerging technologies to advance and improve the accounting process for all, to make accounting more effortless. We are now looking to … medical insurance and health cash plan (Medicash - reloadable shopping cards, cinema ticket discounts, online discounts and more!); Cycle to work scheme; Access to LinkedIn Learning plus training and development opportunities Payroll giving; Income protection; Mental health support through Help@Hand. more »

sector as a VP of Data. THE ROLE As a VP, you will be responsible for: Steering the strategic direction of the Analytics and Machine Learning platform Supporting client delivery by providing actionable insights and recommendations to stakeholders Implementing data governance and security best practices Scaling and growing more »