276 to 300 of 2,436 Machine Learning Jobs in the UK excluding London

to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to … recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are at the heart of everything we do. Tailored Compensation: Competitive … space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn More ❯

AI/ML Engineer – London We are seeking a talented AI/ML Engineer to join a cutting-edge team at the forefront of intelligent technology and digital transformation. This role offers a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be … training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities into digital applications. Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML … fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). A More ❯

Applied Scientist - ML Models Fraud & Financial Crime Applied Scientist - ML Models Fraud & Financial Crime Apply locations Leeds Wellington Place time type Full time posted on Posted 13 Days Ago time left to apply End Date: May 9, 2025 (15 days left to apply) job requisition id 113788 End Date: Thursday … working - click here for more information on flexible working options Flexible Working Options: Hybrid Working, Job Share Job Description Summary: JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

Job Overview: High-performance ML workloads on Arm CPUs requires the co-development of algorithms and highly optimized CPU kernels. In CT-ML (Central Technology, Machine Learning), rapid kernel prototyping is crucial for exploring algorithms and assessing trade-offs between model accuracy and performance. Successful prototypes are essential … CPU architecture development and also deliverables to Central Engineering for final production. Responsibilities: This position is part of a dedicated team within the CT-ML group to focus on analyzing ML workload, rapid prototyping of highly optimized CPU kernels to drive model performance and accuracies. Required Skills and Experience: Strong … creating an efficient kernel code development framework including tools and testing. Deep understanding of CPU architecture. "Nice To Have" Skills and Experience: Knowledge of ML models and algorithms is a plus. Advanced degree or equivalent experience in Computer Architecture and Software are a plus. More ❯

content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and … particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural … networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … achieving shared goals with a commitment to high-quality outcomes. Skills Essential Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … approach to problem-solving. Desirable Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯

Permanent Hours: Full Time DESCRIPTION The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key Responsibilities As an Applied Scientist … across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

Senior Machine Learning Engineer About the Role Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit … recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board. Responsibilities Develop and deploy ML models for various logistics applications. Engineer features and set up ML infrastructure. Collaborate with wider technology and operations teams. Spend time in the field to … understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid More ❯

Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities: As an Applied … across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience More ❯

JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Leeds office. … our journey and you will too How you'll make a difference As an Applied Scientist, you will: Use your skill set to build machine learned models to detect and prevent fraud and financial crime. Lead small teams in the development and maintenance of data science products that serve … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

develop a wide range of new skills on the job. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural … Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty). Certified cloud Architect Experience of delivering production AI/ML services for scaled end user consumption What's in it for you At Accenture in addition to a competitive basic salary, you will also have More ❯

AI Engineer/ML Engineer - CRYPTO - REMOTE We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML. They are seeking a skilled and driven Senior AI/ML Engineer … manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform's functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will … and solidifying the company's status as a leader in blockchain analytics. You will need: Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability. Work alongside product managers and engineers to integrate AI/ML models into the platform More ❯

direct, humble, collaborative, and inclusive of diverse perspectives. Sr. SOFTWARE DEVELOPMENT ENGINEER THE ROLE: AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to analyze, develop … test and deploy improvements to make AMD the best platform for machine learning applications. THE PERSON: Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and … lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning More ❯

Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics/Data Science – Early Equity Opportunity Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling … this is the ideal time to get in early and make a defining impact. We’re seeking a Data Scientist/Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Data Scientist - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle More ❯

Permanent Discipline: AI/Machine Learning Reference: BK-45-1 What you'll do Build and maintain APIs (e.g., FastAPI) to serve ML models. Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform. Deploy machine learning models into production and optimize for performance. Collaborate … with ML teams to streamline training, deployment, and monitoring processes. Develop internal tools and dashboards (e.g., in React or Vue) for analytics and observability. Own CI/CD pipelines and drive infrastructure automation. What you'll bring 5+ years of experience in backend or infrastructure-focused engineering roles. Strong Python … frontier - Engineer the infrastructure behind cutting-edge AI systems, pushing the boundaries of speed, efficiency, and scale with a team at the intersection of ML, systems, and optimisation research. High-impact, high-autonomy - Join a lean, expert-led team where your work ships fast, has a deep impact, and scales More ❯

Subscribe to our newsletter below and never miss the latest updates or an exclusive offer. Apply to: Software Engineering Degree Apprenticeship (Level 6) Learning Provider Delivered by BPP UNIVERSITY LIMITED Employer ARM LIMITED Vacancy Description About the Apprenticeship Program: 3 Year Degree Program studying towards a Digital Technology Solutions … business demand. See below for a few examples: Online tools group developing tools for Keil Studio. Data Science from Python projects to enabling AArch64. Machine Learning analysing machine learning workloads. High Performance Compute developing reference software stacks. Compilers developing compilers in C. Firmware developing secure firmware. … From 22/02/2025 Closing Date For Applications 2025-04-:59:59 Interview Begin From Possible Start Date 2025-09-:00:00 Learning Provider BPP UNIVERSITY LIMITED Skills Required Communication skills, IT skills, Problem-solving skills, Analytical skills, Logical skills Apply Now More ❯

visa) 📍 Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling … on the horizon, this is the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R More ❯

direct, humble, collaborative, and inclusive of diverse perspectives. Sr. SOFTWARE DEVELOPMENT ENGINEER THE ROLE: AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to analyze, develop … test and deploy improvements to make AMD the best platform for machine learning applications. THE PERSON: Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and … lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning … and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full … range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

hands-on role working on real-world problems within a highly successful and scaling SaaS tech company, the core product is an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration, performance. As a Software Delivery Manager … the office is close to the station and has an onsite gym with 24 hour access. About you: You have experience within SaaS, Deep Learning/Machine Learning, AI or complex engineering environments You have experience as a Software Delivery Manager and a strong understanding of Agile More ❯

this role, you will direct AI-driven solutions, apply plasma physics expertise, and guide a multidisciplinary team using Python. Candidates with advanced AI/ML expertise or a physics background-particularly in plasma science-coupled with professional AI/ML experience are encouraged to apply. This position offers a unique … semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex AI and physics-driven projects, collaborating … with engineering, application, and customer support teams to deliver market-ready products. Mentor and coach team members, fostering expertise in AI, ML, and physics within the Innovation Group, and assume leadership roles as required. Shape our AI-powered product roadmap, identifying new opportunities by adapting technologies from diverse fields. Build More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and … the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in … tools like Terraform, Docker, Kubernetes, and Python Contribute to agile ceremonies (sprint planning, retrospectives, code reviews) Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based More ❯

in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, improving our international marketplaces. Architect and implement scalable machine learning solutions to enhance translation quality evaluation and pipeline efficiency across teams. Spearhead cross-functional collaborations to define project requirements, success metrics, and … business goals. Conduct comprehensive data analysis to uncover insights in multilingual data, translating findings into strategies that influence product roadmaps. Pioneer modeling techniques for machine translation quality assessment and pipeline optimization, advancing scientific methodologies. Serve as an expert in LLM applications for e-commerce translation, communicating complex concepts to … diverse stakeholders including senior leadership. Mentor team members, fostering a culture of innovation and scientific inquiry in machine translation and evaluation. About the team We are a start-up mindset team with opportunities for innovation, leveraging Gen AI technologies to build scalable solutions from scratch. Our Vision: Language will More ❯