176 to 200 of 2,182 Machine Learning Jobs in the UK

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 JBG81_UKTJ click apply for full job details ...

novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end‐to‐end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post‐deployment monitoring where applicable. Present findings, trade … language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands‐on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‐learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g. ...

predictive asset maintenance to dynamic workforce optimisation and demand forecasting. You will leverage the Databricks platform on AWS to build, scale, and deploy robust ML models that integrate seamlessly with our clients' enterprise architectures (SAP, FSM, GIS, SCADA systems). Key Responsibilities · End-to-End Predictive Modelling: Design and develop … process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific ...

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 ...

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 ...

Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models … support business and technical objectives. Build and maintain data pipelines, ensuring high-quality, reliable data for model development. Deploy ML models into production environments and monitor their ongoing performance. Work closely with engineers and analysts to integrate models into wider systems and applications. Evaluate model accuracy, stability, and scalability, implementing ...

developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse … data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details ...

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 ...

will focus on continuously maturing the platform to support report integrations, as well as advanced capabilities in artificial intelligence (AI), machine learning (ML), and analytics. As a key member of the data team, you will focus on: Strategically designing the data platform, including the evolution of data domains … data lifecycles across Gallagher Re processes in line with supporting technical architecture. Analytics Sandboxes : Enable secure, flexible environments for data experimentation and innovation. AI & ML Opportunities : Facilitate the adoption of AI and machine learning solutions. Client Preferences : Implement data structures and automated processes to capture, manage, and utilise ...

will focus on continuously maturing the platform to support report integrations, as well as advanced capabilities in artificial intelligence (AI), machine learning (ML), and analytics. As a key member of the data team, you will focus on: Strategically designing the data platform, including the evolution of data domains … data lifecycles across Gallagher Re processes in line with supporting technical architecture. Analytics Sandboxes : Enable secure, flexible environments for data experimentation and innovation. AI & ML Opportunities : Facilitate the adoption of AI and machine learning solutions. Client Preferences : Implement data structures and automated processes to capture, manage, and utilise ...

looking for a Machine Learning … Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models ...

Head of AI – 120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation … Drive delivery velocity through ambiguity, experimentation and learning You’ll bring: Proven experience leading AI teams delivering commercial products Deep GenAI and classical ML expertise Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering Strong Python skills (PyTorch, scikit-learn, modern ML frameworks) A commercial mindset ...

Role: Data & ML Architect Location: Newcastle Upon Tyne Levels: Associate Manager Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define ...

making Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation … exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...

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 ...

strengthening operational resilience, and helping organisations realise the full potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails … reviews, write unit/integration/e2e tests (including data and prompt tests), and uphold engineering standards and documentation Work with advanced AI/ML frameworks, cloud services, and container orchestration platforms As an AI Engineer, you are responsible for designing, building, and deploying scalable AI and machine learning ...

substantial open‐source work) Hands‐on deep learning experience Strong Python skills and experience with PyTorch Ability to independently design, run and evaluate ML experiments Experience working with complex datasets and rigorous evaluation Genuine interest in human attention, perception or behaviour Clear communication skills and comfort working … robotics Multimodal or temporal modelling Egocentric video, eye‐tracking or behavioural data Foundation model fine‐tuning or evaluation Research engineering and reproducible ML pipelines You are likely to enjoy this role if you: Are curious about how humans perceive and interact with the world Are comfortable with ambiguity and open ...

innovative data science initiatives and deliver meaningful, real-world outcomes. The Role You will take ownership of technical delivery and design end-to-end machine learning solutions. Operating within a collaborative, agile environment, you’ll address complex problems using advanced analytics and AI-driven approaches. Key Responsibilities Lead … initiatives across machine learning, automation, and analytics Oversee and mentor a small team of data scientists Build predictive models and data-driven solutions (structured and unstructured data) Collaborate with stakeholders and translate technical findings into business impact About You Proven experience in a senior data science position Strong ...

implementing data-driven solutions to solve business problems Work with structured and unstructured datasets to perform data cleaning, preprocessing, and analysis Build and evaluate machine learning models under guidance from senior data scientists Conduct exploratory data analysis (EDA) and present actionable insights Collaborate with cross-functional teams including … recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working with databases 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. ...

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 ...