601 to 625 of 3,218 Machine Learning Jobs in England

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 ❯

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 ❯

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 ❯

Development & Research Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine‑learning techniques. Modeling & Simulation: Build forecasting, signal‑generation, and risk models; run rigorous back‑tests and simulations to validate performance. Data Analysis: Mine … large, heterogeneous datasets (market microstructure, alternative data, etc.) for actionable insights. Innovation: Continuously evaluate emerging research (deep learning, reinforcement learning, agent‑based modeling) to sharpen our edge. Technical Infrastructure & Implementation System Architecture: Partner with engineering to design high‑throughput trading systems that scale globally. Software Development: Oversee codebases … core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization. Markets More ❯

Development & Research Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine‑learning techniques. Modeling & Simulation: Build forecasting, signal‑generation, and risk models; run rigorous back‑tests and simulations to validate performance. Data Analysis: Mine … large, heterogeneous datasets (market microstructure, alternative data, etc.) for actionable insights. Innovation: Continuously evaluate emerging research (deep learning, reinforcement learning, agent‑based modeling) to sharpen our edge. Technical Infrastructure & Implementation System Architecture: Partner with engineering to design high‑throughput trading systems that scale globally. Software Development: Oversee codebases … core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization. Markets More ❯

Job Title: ML Infrastructure Senior Engineer Location: Abu Dhabi, United Arab Emirates [Full relocation package provided] Job Overview We are seeking a skilled ML Infrastructure Engineer to join our growing AI/ML platform team. This role is ideal for someone passionate about large-scale machine learning systems … on experience deploying LLMs/SLMs using advanced inference engines like vLLM. You will play a critical role in designing, deploying, optimizing, and managing ML models and the infrastructure around them—both for inference, fine-tuning and continued pre-training. Key Responsibilities · Deploy large-scale or small language models (LLMs … Build, test, and optimize LLMs Inference for consistent model deployment. · Implement and maintain infrastructure-as-code to manage scalable, secure, and elastic cloud-based ML environments. · Ensure seamless orchestration of the MLOps lifecycle, including experiment tracking, model registry, deployment automation, and monitoring. · Manage ML model lifecycle on AWS (preferred) or More ❯

Job Title: ML Infrastructure Senior Engineer Location: Abu Dhabi, United Arab Emirates [Full relocation package provided] Job Overview We are seeking a skilled ML Infrastructure Engineer to join our growing AI/ML platform team. This role is ideal for someone passionate about large-scale machine learning systems … on experience deploying LLMs/SLMs using advanced inference engines like vLLM. You will play a critical role in designing, deploying, optimizing, and managing ML models and the infrastructure around them—both for inference, fine-tuning and continued pre-training. Key Responsibilities · Deploy large-scale or small language models (LLMs … Build, test, and optimize LLMs Inference for consistent model deployment. · Implement and maintain infrastructure-as-code to manage scalable, secure, and elastic cloud-based ML environments. · Ensure seamless orchestration of the MLOps lifecycle, including experiment tracking, model registry, deployment automation, and monitoring. · Manage ML model lifecycle on AWS (preferred) or More ❯

to designs and applying large language models in groundbreaking ways, from idea generation to infringement detection. 🔍 What You’ll Do 🧠 Build, deploy, and scale ML models across a robust AWS-based infrastructure 🧰 Collaborate across teams to maintain and enhance ML pipelines, services, and data ingestion systems 📊 Evaluate and improve LLM … output quality, integrate models with backend services 🔧 Work on everything from data crawling to ML infra to production model serving 🤝 Partner with engineers to bring innovative ML solutions into the real world 💪 What We’re Looking For 🧩 Strong problem-solving skills with a proven record of shipping production AI systems … 2+ years) 🏗️ Experience deploying and maintaining scalable ML pipelines 💼 Ownership mindset - you care about product impact, code quality, and long-term maintainability 🚀 Self-driven and comfortable navigating ambiguity ✨ Bonus Points 📚 Built large-scale content indexing systems ☕ Experience with Python-based backend services 📍 Location & Perks Office in Old Street 🌳 Hybrid flexibility More ❯

to designs and applying large language models in groundbreaking ways, from idea generation to infringement detection. What You’ll Do Build, deploy, and scale ML models across a robust AWS-based infrastructure Collaborate across teams to maintain and enhance ML pipelines, services, and data ingestion systems Evaluate and improve LLM … output quality, integrate models with backend services Work on everything from data crawling to ML infra to production model serving Partner with engineers to bring innovative ML solutions into the real world What We’re Looking For Strong problem-solving skills with a proven record of shipping production AI systems … 2+ years) ️ Experience deploying and maintaining scalable ML pipelines Ownership mindset - you care about product impact, code quality, and long-term maintainability Self-driven and comfortable navigating ambiguity ✨ Bonus Points Built large-scale content indexing systems ☕ Experience with Python-based backend services Location & Perks Office in Old Street Hybrid flexibility More ❯

who has hands-on experience through internships, academic projects, or previous AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets … teams to integrate AI solutions into products and business processes. Research/Present and stay up to date with the latest advancements in AI, ML, and deep learning. Write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Participate in model evaluation, consulting other teams and More ❯

who has hands-on experience through internships, academic projects, or previous AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets … teams to integrate AI solutions into products and business processes. Research/Present and stay up to date with the latest advancements in AI, ML, and deep learning. Write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Participate in model evaluation, consulting other teams and More ❯

process. You'll help to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science … Ideally you will bring experience of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & GenAI You will have experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering 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 applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience 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 ❯

big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS Strong experience in building large scale machine learning or deep learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud … Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our 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 ❯

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 ❯

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 ❯

edge devices, enabling large-scale data collection, experimentation, validation, and autonomy in a fleet of vehicles. You will design the software architecture to integrate machine learning-based autonomous driving (AD) solutions into L2-L3 automotive systems, ensuring high reliability, performance, and compliance with safety standards. This is a … managing requirements, risks, milestones, and dependencies, with a strong emphasis on safety and compliance. Software Architecture Design: Develop and implement software architectures to integrate ML-based AD solutions into L2-L3 automotive applications, ensuring seamless integration with OEM environments and sensor systems. Collaborative Development: Work closely with machine learning … background in developing software for Linux, QNX, or other automotive embedded operating systems. Autonomous Driving Knowledge: Experience in L2-L3 ADAS applications and integrating ML-based AD solutions into automotive systems. Work Location & Environment: This is a full-time, London-based role with a hybrid working policy, offering flexibility between More ❯

for designing and implementing Power Systems Network Analytics and Smart Grid solutions. You will contribute to the research and development of innovative solutions using machine learning, deep learning, and RPA for global utilities, addressing operational and commercial challenges efficiently and effectively in their journey towards a zero … a Power Systems Analysis expert engineer/developer in complex agile customer projects to implement new network analysis & analytics solutions leveraging expertise in Python, Machine Learning, commercial analytics, DIgSILENT PowerFactory, DPL, and optimization techniques for Electricity Network and Grid Operator. Analyze requirements and understand functionality to be implemented … of DPL. Knowledge of the basics of power system engineering and some appreciation of the GB network is essential. Expertise in Pandas, Numpy, Scipy, ML libraries, matrix manipulation, Networkx scientific algorithms, and Pyomo. Expert knowledge in data management and visualization techniques in Python is desirable. Version Control using git is 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 ❯

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 ❯