101 to 125 of 958 Machine Learning Jobs in England

fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes ...

client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. This role sits at the intersection of research and engineering, focused on ensuring models are reliably transitioned from experimentation through to large-scale deployment. … improve deployment efficiency and platform scalability Evaluate and integrate third-party infrastructure and inference tooling where appropriate Requirements Proven experience deploying and maintaining ML inference systems in production environments Strong programming experience in Python and familiarity with modern machine learning frameworks Experience working with containerisation and orchestration technologies ...

optimising, and deploying AI solutions in a fast-moving environment. You'll work closely with product, data, and engineering teams to design and implement machine learning models, contribute to production-ready pipelines, and help scale AI capabilities across the business. Key Responsibilities: Design, build, and deploy machine … quality, testing, and scalability Required Experience: Proven experience as an AI Engineer or Machine Learning Engineer Advanced Python skills with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Strong understanding of machine learning algorithms and applied AI Experience deploying models into production environments Comfortable working ...

that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation. The AI Ops Engineer position … Strong experience operating machine learning or AI systems in production environments Hands-on experience with CI/CD pipelines for data or ML workloads Experience managing cloud-based infrastructure for AI workloads Solid understanding of monitoring, observability and operational resilience Strong collaboration skills with the ability to work ...

LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications Process real-time, unstructured, and semi-structured data (text, documents, speech, images) Collaborate with software engineers to embed AI capabilities into … system monitoring Required Skills & Experience Bachelor's degree or higher in a relevant STEM discipline. Strong Python development skills for AI/ML and backend services Hands-on experience with agentic AI architectures and autonomous workflows Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks) Experience building ...

preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders Ensuring data integrity, security, and compliance with internal policies … related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying machine learning models Desirable Experience using a major cloud platform Exposure to big data technologies (e.g. distributed data processing frameworks) Experience with data visualisation tools ...

customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Senior Machine Learning Engineer Company Description: VC-backed healthtech startup Job Description: You will be one of the first hires at a mission-driven startup redefining personalized healthcare. … Collaborate with cross-functional teams to ship impactful features quickly while ensuring safety and technical rigor. The ideal candidate: Strong background in Python and ML libraries like PyTorch or TensorFlow, with experience in supervised and reinforcement learning. Hands-on expertise in fine-tuning Large Language Models, prompt engineering, and deploying ...

used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads. You will join a collaborative software engineering team and work closely with machine learning and research specialists … implement high-performance algorithms using CUDA Manage host–device interactions, including memory management, data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software ...

This role is designed for a senior AI leader who operates at the frontier of machine learning and real-world impact. The focus is on building and scaling advanced AI systems that learn from complex, messy, multi-modal data and turn that learning … into reusable capabilities that materially improve decision-making and outcomes. What this person actually does Leads a high-calibre team of AI scientists and ML engineers building large-scale, production-ready AI systems Designs and delivers foundation models using self-supervised and representation learning techniques Builds models that learn ...

prior professional experience is required—what matters is curiosity, problem-solving skills, and passion for AI. What You’ll Do Implement, train, and optimize ML models (supervised, unsupervised, reinforcement learning) Preprocess data, engineer features, and evaluate model performance Deploy models to production and monitor performance Collaborate with cross-functional … teams to integrate AI solutions Learn and apply the latest ML/AI research and tools You Should Have Recently completed or soon-to-be completed Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field Strong programming skills in Python (and optionally R, Java ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...

Salary: Up to £95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build … translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML ...

Machine Learning Engineer Type: Permanent Salary: £60,000-£70,000 Location: York or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data … Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost ...

research, design and deploy cutting-edge machine learning systems. Projects span early-stage research through to working prototypes, covering the full ML lifecycle - from data preparation and rapid prototyping to model development, evaluation and deployment. This is a hands-on role for someone who enjoys tackling novel, technically … challenging problems and applying ML in real-world or constrained environments. About You Degree (2:1 or above) in Computer Science, Engineering, Physics, Maths or similar Strong Python skills Experience with ML frameworks such as PyTorch, TensorFlow and/or JAX Exposure to applying ML in novel domains or resource ...

Machine Learning Engineer - Research Team Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating … testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such ...

Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities Design and build production-grade ML infrastructure, including training pipelines, model … serving, and monitoring systems. Collaborate with research engineers to translate experimental models into reliable, maintainable software. Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs). Establish engineering best practices for ML development, including testing, CI/CD, and code review standards. Progression Timeline ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning. … particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments would be at the Reader level. We are a highly collaborative team, working not only with other researchers in our department, but across the university and beyond. We will offer you support ...

Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. Core Responsibilities Model Development: Build … closely with Product Managers and technical teams to translate business needs into scalable AI solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

delivery-focused role , with clear ownership of models running in production and room to grow as the platform scales. You will work closely with ML scientists, engineers, and product leaders to ensure AI systems are robust, reliable, and deployable in a regulated healthcare environment. This role is hands … machine learning models in production Deliver high-quality, well-tested features that directly support early detection and treatment pathways Collaborate with ML scientists to productionise models intended for clinical use Design, maintain, and improve cloud infrastructure, CI/CD pipelines, and MLOps workflows Monitor model performance and system ...

Machine … Learning Engineer (Python AWS MLOps) Remote UK to £90k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team ...

performant AI-driven features. A Day in The Life Typically Includes: Lead, mentor, and grow a team of engineers focused on AI/ML development within the Infor MES solution. Architect and deliver scalable Generative AI and Machine Learning solutions leveraging Infor OS platform services and APIs. Drive … design and integration of AI/ML models into MES workflows, ensuring seamless customer experiences and operational reliability. Collaborate closely with cross-functional teams — Product Management, Software Engineering, Cloud Infrastructure, and Security — to align AI initiatives with business goals. Evaluate emerging AI/ML technologies and frameworks to continuously innovate ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning ...