101 to 125 of 989 Permanent Machine Learning Jobs in the UK

Engineer, you’ll be part of a team with a huge roadmap of work utilising the latest tools and technology to deliver AI and ML initiatives. With one of the lowest staff turnover rates in the area, it’s a company that prides itself on its working culture. It’s more »

applicant should be motivated to work in a multidisciplinary team at the interface between imaging, data processing and biomedical sciences. Prior experience in microscopy, machine learning and image data analysis will be beneficial. 🛫 Training Abroad: Immerse yourself in a unique learning experience by spending valuable time at more »

fees of £400,000 (Imagine earning £32,000-£160,000 on a single placement!) Specialist Technology Trading, Quantitative Research, Portfolio Management/Trading (AI & Machine Learning, Software Engineering & Data) firm, that recruit across Europe & the US Delivery focussed role - no BD required Central London based Working on an more »

that inspire customers, and delivering value and ROI to the end users and their business? Have you launched products focussed on data driven insights, machine learning tools and data decisioning frameworks? IF YES, THIS COULD BE THE ROLE FOR YOU!!! What will you be doing? A newly created more »

latest best practices and development in enterprise-level digital transformation solutions You Will Bring: Candidate must have a proven experience working with RPA, AI, ML, Workflow Automation & Digital Transformation Candidates must have a strong background and knowledge of enterprise-level digital transformation solutions, including digitization services, intelligent document processing, automation … solutions, cloud migration services, information governance, content service platform solutions, AI/ML modeling, strategic account management, sales process and solution selling. Must have the proven ability to translate the customer need(s) into solution requirements through creating powerful value propositions Passion for problem-solving and data-driven analysis to … customer personnel (to include c-level) on a wide range of topics and issues. Your Qualifications: Strong digital transformation domain knowledge RPA, AI or ML exer Professional Services/Consulting professional with 5+ years of direct selling experience to executive-level buyers. Demonstrated success in selling digital solutions to senior more »

Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to … Chance to have 1 direct report within an MLE team of 3 Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment … within a well established company Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in deploying customer/marketing models but not required Candidates should be looking to work in a fast paced startup feel environment more »

Title : Senior Software Engineer Package : Up to £80,000 + benefits Location : Hybrid (Cambridge, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers . Shipping software products into … long untouched industry. SoCode Recruitment is hiring on behalf of one of its reputable clients in the Cambridge tech space. Our client is a machine learning company operating within the legal sector and looking to scale massively throughout 2024 and into 2025. They have a well-regarded/… best practices across the development lifecycle. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

Machine Learning, Artificial Intelligence and a fresh approach to physical security. Not the kind that asks you for identification, but the kind that has been widely underutilised and if you’ve ever seen Crimewatch, neglected by many organisations. You will be working with a team of engineers spread … and opportunity. Being an IoT start-up, you’ll have a direct impact on multiple areas of the product lifecycle. Whether you’re deploying learning models or developing new features for telemetry, you will be making a difference. The codebase here is largely written in C++ and will certainly … of experience levels. The salary on offer is up to £120k. Interested in joining a start-up with some of the industry leaders in ML/AI? Get in touch. No up-to-date CV required. more »

towards achieving technical expertise and career opportunities. Conduct technical mock interviews with the interns Support the Skills City team in timetabling and monitoring student learning progress Administering LMS tasks such as scheduling sessions, managing attendance and uploading session recordings, registering participants and creating/editing instructor resources Evaluate and … provide feedback to all learners’ activities and submissions promptly. Working closely with the learning strategy team to preserve a consistent program experience for all learners through a defined curriculum, milestones, and interactions Providing content and class feedback to the learning strategy team led by Quality Assurance Manager to … in a similar role Full-Stack Software Development experience (Python, JavaScript, OOP, HTML/CSS, React.js, SQL) and Azure Cloud Strong foundational knowledge of Machine Learning and Artificial Intelligence Expertise in leveraging AI tools for Software Development Ability to self-learn new skills and keep tech skills updated more »

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »

ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all more »

attention to detail. Ability to thrive in a collaborative, fast-paced start-up environment. Preferred Qualifications: Experience in data science and/or with machine learning techniques. Interest in AI and its applications within supply chain Academic background in supply chain or similar field. Experience working with APIs. more »

and flexibility to travel across EMEA and globally if needed. Authorization to work in the UK. A strong understanding of core system integration and machine learning methods are both a plus. Experience in the insurance or banking industries is preferred, and previous exposure to analytics within pricing, deposits more »

exciting company that has developed an advanced AI platform to support construction and engineering projects across the UK and EU. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models more »

solutions. Manage capacity for cyber platforms proactively. Design data structures for Cyber logs, reports, and incidents to align with digitization strategies, incorporating AI and ML where appropriate. Apply agile and DevOps methodologies as necessary. Develop and implement comprehensive cyber defence policies, procedures, and operational processes. Collaborate with the wider team 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 »

We are looking for an ambitious Technical Consultant to join a growing Tech startup based in Manchester. They are creating the latest AI/ML/Bot technology products across Public and Private sectors, onboarding new clients all the time! This is a chance to join a business where you 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 »

Our client is a leading fintech company dedicated to revolutionizing the financial services industry. They leverage advanced analytics, machine learning, and cutting-edge technology to deliver innovative financial solutions to their clients. Their mission is to make financial services more accessible, efficient, and personalised. Job Description: We are … behalf of our client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist … and collaborate with cross-functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to more »

Machine Learning Engineer Perm/full time London office 4 days per week Can offer sponsorship and relocation Up to £200K Significant equity for first joiners A YC-backed start-up in AI safety, is looking for a Machine Learning Engineer to join their founding team. … 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. General: Keen interest in AI and AI safety Can demonstrate you can work in … call) 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. Pleas more »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in the UK. NO Visa Sponsorship … select the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be … pages, not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge of Docker, Kubernetes more »

large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure … support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity more »

our clients over a consistent period, the team are keen to find another great Recruiter to continue our position as a leader of the Machine Learning, AI & Data Engineering Recruitment space. Data Science and Machine Learning Recruitment at Xcede Data Science has long been a flagship more »

cloud Experience of greenfield Data Warehouse implementations, including Data Architecture principles Knowledge of data science concepts and ability to promote solutions to production via machine learning engineering Hands-on knowledge of NoSQL and relational Databases, alongside relevant data modelling techniques ETL/ELT tooling Knowledge of DBT, Luigi … CI/CD, test automation, e2e testing Experience of streaming data technologies Development on highly-scalable, highly-available applications with large datasets Experience of machine learning engineering tools on GCP Micro-services and containerised computing more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »