451 to 475 of 2,090 Machine Learning Jobs in the UK excluding London

high-quality enterprise scale software solutions Design, implement, and test high-performance C++ applications Devise, implement, and test innovative image processing/analysis/machine learning solutions to address challenges of nano scale microscopy and deliver value to the customer Debug and troubleshoot hardware/software integration issues … Collaboration: Works with all stakeholders, building capabilities, and cultivates an inclusive culturDesired skills and qualifications: Masters degree Excellent programming skills in Python Experience in machine learning pipelines Experience of developing embedded software/hardware-software integrated solutions. Experience of developing microscopy/scientific softwareAt ONI, we understand that ...

further testing or re-testing Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

Qubitera Ltd. is seeking a Machine Learning Engineer/AI Research Engineer to join a small core team in Cambridge, working at the intersection of modern machine learning and quantum computing. The role is hands-on across research, design, coding, evaluation, and iteration. You'll design ...

Build strong engineering practices across software development, data platforms, testing, deployment, and operational support. Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement. Champion the adoption of AI-enabled development practices to improve quality and delivery speed. Collaborate with senior stakeholders and enterprise clients … knowledge of cloud technologies, particularly Azure and modern data platforms. Strong understanding of Python, SQL, data architecture, distributed systems, and production environments. Experience delivering machine learning, AI, or advanced analytics solutions into production. Ability to balance strategic leadership with technical involvement in complex projects. Strong stakeholder management skills ...

algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well‐defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large‐scale genomic and transcriptomic datasets … cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions ...

maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities … querying, transforming, and optimising data. Deep knowledge of data architecture and data management practices within cloud environments. Additional Skills & Qualifications experience supporting AI, machine learning, or advanced analytics initiatives with well-structured datasets. Knowledge of operational resilience, risk, regulatory, or financial services environments. Understanding of cloud data architecture ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

Inside IR35 Strong Java and Python development skills in mission-critical applications required. Proven experience building AI-based solutions in enterprise environments, including both machine learning and generative AI use cases, is highly desirable. Strong understanding of how AI can be applied to accelerate software development processes … technical support aligned to business priorities. A core focus of the role is to design, build and deliver enterprise-grade AI solutions, including machine learning and generative AI capabilities, that solve meaningful business problems and accelerate innovation. Identifies, prototypes and deploys AI-enabled solutions aligned to business needs ...

complex data insights into tangible business value. Responsibilities Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

Role As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.Responsibilities include: Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation Developing classification, regression and clustering models using … Offer Salary up to £65,000 Hybrid working with two days per week in London Exposure to a broad range of Data Science and machine learning projects Direct client engagement and stakeholder exposure Access to modern cloud and analytics technologies Strong opportunities for technical and professional development Collaborative ...

knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks … numerical capability, with strong attention to detail and the ability to challenge assumptions, methods and outputs. Experience using statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Proficiency with pricing and data tools such as WTW Radar, Databricks, Python, PySpark, SQL or similar ...

Develop and maintain core features of the Therapeutic Molecule Registration platform Design and implement RESTful APIs and microservices serving molecular data to research and machine learning teams Write high-quality, testable code for chemical registration workflows Contribute to technical design discussions and help harmonise multiple registration systems Design … cloud-native systems that support rapid iteration between computational molecule design and experimental validation Partner with Computational Sciences, machine learning for drug development, and Drug Discovery groups including Antibody Engineering Collaborate with scientists and grow expertise in chemical and biological data management Requirements Degree in Computer Science ...

DescriptionPurpose of the roleTo design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning … marketing optimisation. Monitoring model performance in real-time and identify any potential issues or biases. Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation. Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation. Assistant Vice ...

management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine‐learning models. Develop practical AI and external data strategies, prioritising opportunities supported by clear business cases. Build and develop the internal data science … diligence discussions by articulating the organisation's capability, progress, governance and future roadmap. Skills and Experience Significant, demonstrable experience in data science, machine learning, predictive modelling or a closely related discipline. Deep practical expertise across the complete model lifecycle, from data preparation and development through to deployment ...

Energy is seeking a Machine Learning Scientist to design and implement advanced AI solutions across its digital platforms. You will explore CV, NLP and generative AI, building models and proofs of concept while collaborating with cross-functional teams and external partners to deliver impactful innovations. The role ...

decisions. Succeed Together. We have each other's backs. The Role This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. … into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high-impact, growing analytics ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage … pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding ...

translate novel techniques into practical ASP/PNT solutions. Improve the robustness of traditional algorithms for challenging, real-world data and systems. Use machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour. Support proposals, bids, and project delivery for research and development … comfortable applying hybrid white-box and black-box approaches to real engineering problems. Essential experience Experience implementing hybrid algorithms that combine classical and ML-based approaches. Applied experience in one or more of the following: feature extraction, data fusion, target tracking, image segmentation, image matching, sensor calibration, state estimation, anomaly ...

often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart ...

will have significant influence over data architecture, engineering standards, platform development, and the future direction of data and analytics capabilities, including AI and machine learning readiness. Key Responsibilities Design, build and optimise complex data pipelines and scalable data models. Provide technical leadership across data engineering projects and initiatives. … requirements into effective data solutions. Establish and promote best practices around data governance, security, quality, and platform performance. Support the development of AI/ML‐ready data capabilities and future‐focused data architecture. Influence strategic decisions relating to data engineering, tooling, and platform direction. About You Proven experience operating ...