201 to 225 of 1,707 Machine Learning Jobs in the UK excluding London

solutions, embed models into business processes and see the real-world impact of your work. Key Accountabilities: Design, build, test and deploy statistical and machine learning models to solve customer, commercial and operational challenges. Analyse large and complex datasets to identify patterns, opportunities and drivers of customer behaviour … learning techniques, which could include classification, regression, gradient boosting/XGBoost, segmentation, propensity modelling or survival analysis. Experience or knowledge of production ML practices such as Git, CI/CD, MLflow, automated testing, model deployment and monitoring. Strong analytical thinking, with the ability to take an ambiguous business ...

problem solving and analysis.This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You'll be expected to conceptualise new approaches, communicate your vision to stakeholders, and see ideas through to implementation.Key … business challenges, designing solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or Generative AI techniques.Work collaboratively with data scientists and other technical disciplines including product and business teams.Work closely with other members ...

large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling … Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging ...

Summary: This is a full-time role (Monday to Thursday), reporting to the Lead Software Engineer, and encompasses a range of software engineering and machine-learning skills. The primary function is to serve as a Software Engineer, specialising in Python, contributing to the development of digiLab's product … Uncertainty Engine. The role requires expertise in Python and involves applying machine learning principles within a fast-paced, collaborative, and dynamic environment. The role: As a Software Engineer (Backend) at digiLab, you will be responsible for: Collaborate with a cross-functional team to design, develop, and maintain high ...

Professor in Artificial Intelligence The University of Bath invites applications for a full Professor in Artificial Intelligence. You will be part of the AI & Machine Learning group within the Department of Computer Science. We're particularly looking for candidates with research strength in a core area … such as generative models, natural language processing, reinforcement learning, AI verification and AI security and assurance. The AI & Machine Learning group is a key strength of the department, highly regarded internationally and successful in research publication and grant capture. Our research and our strong industry connections give ...

date: Open Until Filled The University of Bath invites applications for a full Professor in Artificial Intelligence. You will be part of the AI & Machine Learning group within the Department of Computer Science. We're particularly looking for candidates with research strength in a core area … such as generative models, natural language processing, reinforcement learning, AI verification and AI security and assurance. The AI & Machine Learning group is a key strength of the department, highly regarded internationally and successful in research publication and grant capture. Our research and our strong industry connections give ...

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

will include Architectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. Recommend the optimal technical … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential. Experience: 5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire 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 … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

simulation using High Performance Computers. Application areas include Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science.The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. The potential … Computers, such as Quantum Singular Value Transformation.**Desirable*** Experience of parallel programming for high performance computing.* Experience of simulation and modelling and/or machine learning for engineering.* Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators* Azure DevOps, Cloud compute architecture, and HPC system management ...

cross-disciplinary team — computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists — and help translate structure, simulation, and machine learning into molecules we actually make. What sets this role apart is the design–make–test loop: working directly with partner chemists … team. Key Responsibilities Run computational design across the CADD stack — docking, pharmacophore, shape and 3D-similarity, MD, FEP, and QSAR — choosing appropriate physics- and ML-based approaches for each question. Design, enumerate, and prioritise molecules and libraries for synthesis, and triage and analyse the results across DMTL cycles. Work with ...

build, and deploy production-ready GenAI solutions. This hybrid role can be based from London or Sheffield and is ideal for an AI Engineer, Machine Learning Engineer, or Software Engineer with 3 to 5 years of experience working across Generative AI, LLMs, Python, APIs, and cloud-based … Collaborate with stakeholders to turn business requirements into practical AI solutions. Required Skills and Experience 3 to 5 years of experience in AI engineering, machine learning engineering, software engineering, or data-focused development. Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents. Strong Python ...

driving the development and adoption of fit-for -purpose data and informatics infrastructure and pipelines. · Lead cross-functional workstreams with biologists, clinicians, AI/ML engineers and statisticians to translate findings into testable hypotheses. · Communicate results clearly to diverse stakeholders through written reports and concise oral briefings. · Collaborate with cross … Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose ...

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 ...

Role overview The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across … users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers ...

+ Equity This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You'll play a key role in shaping risk and affordability modelling capabilities while … technical leaders can have a significant impact. The Role Define and lead the data science strategy across risk, affordability, and decisioning. Develop and deploy machine learning models that support lending decisions. Drive the adoption of AI and advanced analytics solutions across the organisation. Partner closely with Product, Engineering ...

experiences to drive meaningful customer impact. Description Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.- Design and execute observational and experimental studies of causal inference- Work with large, complex data sets. … highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing ...

partners, you will lead day-to-day technical development and integration of a working proof of concept combining Wi-Fi radio-frequency (RF) telemetry, machine learning, cybersecurity software and locally deployed AI for human-readable threat explanations. You will translate research into a functional demonstrator, with an emphasis … network telemetry through passive monitoring and commercially available sensing technologies. Building data ingestion, processing and analysis pipelines for wireless telemetry. Designing, training and evaluating machine learning methods to detect anomalous, unmanaged or potentially malicious IoT activity. Combining spatial, behavioural, RF and network features, with local large language models ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

datasets to develop, integrate and embed advanced computational methods and predictive in-silico models to accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help drive the development and delivery of key new capabilities for our internal automated small … currently have a major R&D initiative focused on transforming small-molecule drug discovery. Responsibilities Build, validate and deploy cheminformatics and machine learning methods and models to inform go/no-go across drug-discovery programmes. Integrate with drug discovery programme teams (including DMPK, Toxicology and Safety Pharmacology ...

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 … Crime Data Analyst, you should have experience with: Hands on experience in Python and SQL Strong analytical skills, rule development skills, with understanding of ML SME Knowledge in transaction monitoring/money laundering financial crime analytics tasks Knowledge of risk coverage related to money laundering and terrorist financing. Familiarity with ...

London (Hybrid) | £120,000 - £140,000This is an opportunity to lead and build a data science function within a fast-growing fintech where AI, machine learning, and data-driven decisioning sit at the heart of the business. You'll have the autonomy to shape strategy, deploy models into … with senior leadership on critical business challenges. The Role Own the data science strategy across risk, affordability, and lending decisioning. Design, build, and deploy machine learning models using credit risk, Open Banking, and customer data. Work closely with Product, Engineering, Credit Risk, and Operations teams to deliver measurable ...