26 to 50 of 2,547 Machine Learning Jobs in England

C++/Embedded Software/ML/Machine Learning/Python Senior/Lead Software Engineer - AI/ML Foundation Model | Future CTO Potential Role: Senior Software Engineer Location: West London - 3/4 days per week Sector: Artificial Intelligence | Physical Engineering | High-Performance Computing Type: Full-time … pivotal role in shaping the company's technology strategy, architecture, and engineering culture. Key Responsibilities Design, build, and optimise scalable, high-performance systems for ML-driven automation. Lead the development and deployment of next-generation control software solutions. Collaborate with the founding team to define technical strategy, architecture, and infrastructure. ...

accelerate materials innovation and transform manufacturing. Role Overview We are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. You will collaborate closely with process engineers and materials scientists, identifying meaningful features and translating complex datasets into … impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills ...

engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications.You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop … deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline ...

annum Type: Permanent Experience Required: 3 years delivering live AI products and 5 years or more of theory and applied machine learning understanding 167 Solutions is supporting a world leading manufacturing organisation in the search for an experienced and ambitious AI Engineer specialising in Generative AI. This role … progression. Key Responsibilities Design, build, and deploy Generative AI models for enterprise manufacturing and operational intelligence use cases. Develop and maintain end to end machine learning pipelines using modern MLOps frameworks including CI and CD, observability, automated testing, and monitoring. Work with large scale, multi region data sets ...

Machine Learning Engineer is sought by a high growth B2B scale up based in Birmingham city centre. With data-driven creativity at its core their platform uses machine learning to turn business insights into business success. As a Machine Learning Engineer ...

cloud platforms (AWS, Google Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness … MLOps is a plus. UK citizenship required. What’s on Offer Opportunity to work on cutting-edge AI and ML projects. Collaborative, knowledge-driven culture. Competitive salary and benefits package. ...

Lecturer/Senior Lecturer in Artificial Intelligence The Department of Computer Science wishes to appoint academics to strengthen our rapidly growing Artificial Intelligence and Machine Learning Research Group. We are looking for academics at the Lecturer and Senior Lecturer level, with expertise in Natural Language Processing, Reinforcement Learning, and/or AI Security, to lead research, teach, and help with the running of the department. Artificial Intelligence & Machine Learning Research Group The AI & Machine Learning Research Group at the University of Bath has grown significantly over recent years and includes experienced AI researchers ...

Senior Data Product Manager - AI/ML Egham, Surrey (Hybrid - 2 days in office) Salary: £90,000 - £100,000 Our client, a global leader in customer-focused services, is seeking a Senior Data Product Manager to take a pivotal role in shaping and delivering innovative, AI-driven and predictive data … across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation. Key Responsibilities Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning ...

hybrid approach to work. The Role The company is hiring a Machine Learning Engineer at Tech Lead level to join a central ML team supporting Product and Engineering groups. You will design and productionise ML, optimisation and GenAI solutions that sit at the core of their platform. Projects … include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities ...

hybrid approach to work. The Role The company is hiring a Machine Learning Engineer at Tech Lead level to join a central ML team supporting Product and Engineering groups. You will design and productionise ML, optimisation and GenAI solutions that sit at the core of their platform. Projects … include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

water resources modelling platform, with opportunities to contribute across a broader flood modelling software suite. A key element of the role will involve applying machine learning techniques alongside established hydrological models to enhance performance, insight, and innovation. Key Responsibilities Develop and manage hydrological methods within a national water … resource modelling platform. Contribute to the development and enhancement of UK flood estimation and modelling tools. Identify and implement machine learning approaches to support and extend existing hydrological models. Translate scientific research into robust, user-focused commercial software solutions. Support software testing, validation, and user interface development. Engage ...

Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning … algorithms, primarily for speech and audio applications. Develop and execute evaluation pipelines to test models on prototype and production systems. Debug and optimise ML workflows and code using Python, PyTorch/TensorFlow, and related tools. Collaborate with software and hardware teams to integrate AI solutions seamlessly into devices. Maintain comprehensive ...

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow … business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture ...

/Machine Learning Engineer/Staff Machine Learning/Location: UK (Hybrid or Remote options available) Salary: £60,000 £100,000 per annum (depending on experience) Type: Permanent Recruitment Partner: 167 Solutions Ltd The Opportunity 167 Solutions is working with a forward-thinking organisation that ...

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap …/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models ...

throughput rate We are seeking a skilled Computer Vision Data Scientist to join our team and lead the integration of machine learning (ML) models into the ScanApp application. The ideal candidate will possess a strong background in Python, computer vision, and deep learning, as well as experience … infrastructure, and ensuring seamless integration with the ScanApp. Key Responsibilities: Collaborate with cross-functional teams to understand ScanApp requirements and translate them into robust ML models. Develop, train, and optimise computer vision and deep learning models using Python and popular libraries (e.g., TensorFlow, PyTorch). Integrate ML models into ...

working closely with data scientists and product specialists to deliver scalable, high-performance software solutions that integrate the latest AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python … exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing ...

curious Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role, youll … data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success ...

Platform solutions with Microsoft 365 services (like Teams and SharePoint) and other third-party systems or APIs. Data & AI Integration: Utilize AI Builder and machine learning models to add intelligence to applications and automations. Collaboration: Work closely with business analysts, stakeholders, and end-users to understand requirements … ensure solutions meet business objectives. Essential Skills & Knowledge: Microsoft Power Platform: Deep knowledge of Power Apps, Power Automate, Power BI, and Dataverse. AI & Machine Learning: Experience with AI automation tools, machine learning models, and AI Builder for enhanced functionality. Copilot Studio: Expertise in building and deploying ...

company is hiring a Data Scientist. Hybrid position. Paying up to £600 per day Experience and skills required for the Data Scientist, LLM, RAG, Machine Learning Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of underlying mathematical foundations of statistics … machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining ...

tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients … What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality ...

tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients … What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality ...