126 to 150 of 1,316 Machine Learning Jobs in England

Doing Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) Optimise and deploy CV/ML pipelines to cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling … Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/ML What We're Looking For Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience Proven experience delivering deep learning solutions ...

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

Edinburgh Long-Term Contract We’re currently hiring experienced Data Scientists for a major enterprise AI transformation programme focused on Generative AI, Agentic AI, Machine Learning, and advanced analytics. This is a long-term contract opportunity working on cutting-edge AI initiatives across large-scale enterprise environments. Responsibilities … Contribute to AI strategy and innovation initiatives Required Skills Strong commercial experience in Data Science/Machine Learning Advanced Python skills with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with LLMs, Generative AI, RAG, or Agentic AI solutions Strong SQL and data manipulation experience Experience ...

Head of AI & Machine Learning Up to £100k + 15% Annual bonus | Northampton | Permanent | Hybrid (minimum 2 days per week) Proactive IT Appointments are proud to be working with an exciting client looking to hire a Head of AI & Machine Learning to lead their AI strategy … This role requires strong leadership experience alongside hands-on expertise in Python and AWS, with a proven track record of building and deploying scalable ML solutions. Skills & Experience Essential: Extensive experience in people and strategic leadership. Strong communication skills, with the ability to influence both technical and non-technical audiences. ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 #erro ...

effective.In addition, you will use your experience to shape best practices, drive innovation, and influence broader AI and model governance frameworks.**Key Responsibilities:****AI & ML Model Evaluation*** Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models.* Oversee scenario based testing, regression … Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field.* Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas.* Demonstrated success working with technical teams or senior specialists in high‐stakes ...

machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection … production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

Python Machine Learning SQL Roles and Responsibilities: Design and develop rapid prototypes and PoCs using Python for data-driven and AI/ML use cases. Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data. Perform data analysis, feature engineering, and experimentation … extraction, transformation, and analysis from relational databases. Integrate prototypes with APIs, data pipelines, and visualization tools when required. Translate business problems into analytical and ML solutions. Collaborate with cross-functional teams to refine requirements and iterate on prototypes. Ability to work independently and manage multiple tasks simultaneously. Flexibility to adapt ...

Python Machine Learning SQL Roles and Responsibilities: Design and develop rapid prototypes and PoCs using Python for data-driven and AI/ML use cases. Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data click apply for full job details ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

across SBS products and client engagements. The successful candidate will combine deep technical expertise with strategic leadership, driving the development of scalable AI/ML models, influencing product innovation, and enabling clients to unlock value from their data. Location: Greater London, UK Hybrid: Flexible Onsite Schedule Responsibilities: Data Science Leadership … environments (MLOps) Product & Innovation Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions Identify opportunities to leverage AI/ML to enhance banking products and client outcomes Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics) Client Engagement & Stakeholder Management Engage with ...

science team within their R&D function. This is a great opportunity to join at an early stage and help shape how data and machine learning are used to deliver real value to customers. As a Data Scientist, you’ll join a newly formed scrum team alongside Data … quantitative field Around 5+ years’ experience in a data science role, with a strong focus on machine learning Strong Python programming skills ML Ops experience Experience working with version control systems (e.g. Git) Exposure to cloud platforms and containerisation would be advantageous Strong communication skills in English; additional ...

proactive and inquisitive approach Experience in the following would be beneficial: Working with hardware or developing software to control hardware devices Computer networking Machine learning, statistics, optimisation, or algorithm development Deep learning frameworks such as TensorFlow or PyTorch Mobile application development for iOS and or Android Responsibilities … quality solutions Analysing and solving complex technical problems across software and system-level challenges Supporting integration between software and hardware components where required Continuously learning and applying new tools, technologies, and methodologies What the role offers: The opportunity to join a rapidly growing and highly innovative start-up Exposure ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … 3+ years of experience working as a data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...

responsible for: Developing new statistical models and algorithms to improve eye health and Oculomics research outcomes. Producing cutting edge research in applied AI/machine learning and modelling clinical datasets. Developing relationships with AI researchers in SME, academic and clinical partners to further develop project. Championing ethical … paradigms for mathematical representation of complex systems (e.g., differential equation modelling and mathematical programming and optimisation). Experience with cloud computing (e.g. GCP, Azure ML, AWS SageMaker), containerisation (Docker, Kubernetes), or version control (Git). Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders ...

Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. You will also be a key partner to the heads of Hardware, Design Engineering, and Animal Science, ensuring software is seamlessly integrated with physical … team while collaborating with cross‐functional leaders to drive innovation. Responsibilities Technical Leadership Define, implement, and scale the software architecture across web, backend, and ML systems. Maintain strong engineering standards for code quality, security, testing, and deployment. Lead key technical initiatives, contributing code and architecture reviews. Drive integration of software ...

Data Engineer (AI Enablement) to join the SAFEHR team.We are solving hard problems: building the secure, modern data infrastructure that lets advanced research and machine learning move from theory into reality. You will design data pipelines, evolve our data warehouse and metadata capabilities, prototype machine-learning … Well versed in Git and modern data-engineering development standards, including code reviews, automated testing and data validation. Proven track record deploying and monitoring machine learning solutions on clinical datasets (e.g., risk stratification, patient flow, phenotyping), including validation, drift monitoring, and adherence to clinical safety and data governance ...

design will emphasise human-AI collaboration, ensuring users retain oversight, agency, and the ability to challenge or override recommendations. Methodologically, the project blends machine learning, probabilistic modelling, multi-agent systems, explainable AI, and human-computer interaction, alongside knowledge representation and graph-based reasoning techniques. A design-science research … above (or equivalent) Professional qualifications and/or relevant and appropriate experience. Desirable Criteria: A degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Mathematics, Engineering, Information Systems, or a closely related discipline. A Master's degree in one of the above areas. Strong analytical ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...