126 to 150 of 1,222 Machine Learning Jobs in the UK excluding London

implementation of AI solutions, helping Ridge unlock new levels of value, efficiency and insight through intelligent automation, advanced analytics and machine-learning capabilities. In this role, you will be instrumental in driving the discovery of AI opportunities across our various disciplines. You will collaborate closely with project teams … coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with delivering AI and machine learning projects Experience spanning small, isolated implementations to larger org-wide initiatives Experience in data analysis, machine learning and AI development Hands ...

operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast … closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

development and advanced analytics while building and scaling a high-performing, multidisciplinary team. You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring … support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering, modelling and evaluation. Select ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale. The Opportunity As a Senior Data Scientist, you will play a key role in transforming … services organisations. Key Responsibilities Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions Design, develop, and deploy statistical and machine learning models to solve business problems Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency Write high-quality, production ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across … supporting analytics and reporting Support and enhance Azure Synapse and Azure Data Lake environments Contribute to the migration and adoption of Microsoft Fabric Integrate machine learning and AI-driven outputs into data pipelines Develop and support Power BI datasets and reporting layers Mentor Data Engineers and support best ...

with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment. Our fast-paced, delivery-focused environment offers … ability to apply advanced techniques to complex, real-world problems. Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent verbal and written communication skills for presenting complex data-driven insights ...

with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems . This role … building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: * Audit current ML architecture, pipelines, and MLOps practices * Identify gaps in documentation ...

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science … trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions. Sitting within our Group & Enterprise Services (GES) function, this … data scientists to deploy high-impact models reliably and at scale. You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services. What you'll do * Lead, mentor and develop a small team of ML Engineers * Oversee ...

medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator. The Role … with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science delivers ...

measurable business value from AI investments. Minimum (essential) Requirements Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … Desirable Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow), fine tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g., scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

production. This is a blended role combining MLOps, Data Engineering, and DevOps, well-suited to an engineer who enjoys working across the full ML and data lifecycle. You will work within dynamic, multi-disciplinary project teams, collaborating closely with data scientists, software engineers, and client stakeholders to deliver scalable, production … ready ML and data solutions across a diverse range of commercial sectors. This role offers strong opportunities for career development, exposure to real-world ML systems, and continuous learning within a fast-growing engineering team. Key Responsibilities & Skills: Own and manage the end-to-end lifecycle of machine ...

vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close … into training-ready datasets Support hand-labelled and auto-labelled data pipelines, including validation and quality control Help build and scale autolabelling systems, where ML models generate annotations across large datasets Support intelligent data curation and selection from thousands of hours of real-world and simulated driving Generate and process ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML … teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data ...

partner teams; avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities … field; advanced degree desirable. Knowledge & Experience Demonstrable experience of AI product delivery/ownership within insurance or financial services. Strong understanding of AI/ML concepts, model lifecycle, and MLOps. Knowledge of ethical AI principles and regulatory frameworks. Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership. ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ideas off each other, breaking things, fixing them … changing the game, needs an experienced Product Manager. You. Permanent| £45,000 - 55,000 per annum| North West Responsibilities Lead a data science/ML oriented team, inspiring and guiding them through the full lifecycle of AI driven feature development. Manage multiple projects across teams, allocate resources and ensure project ...

Description We are looking for aMachine Learning Ops Engineerto help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimi... ZIPC1_UKTJ ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...