1 to 25 of 126 Machine Learning Jobs in the Thames Valley

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI … processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs … and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other relevant programming languages. Experience More ❯

innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine … Learning Engineer to help bolster their team. This role would suit a Machine Learning Engineer who is already confident working in ML environments, especially with NLP tools. This role is remote within the UK. Their office is based in Milton Keynes - you may need to visit the … office on rare occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow or PyTest Excellent communication and problem solving skills. What is in it for you? As More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this … research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity More ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … alignment with business objectives and operational excellence. Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units.Machine Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas … machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact.Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.).Big Data & Cloud Platforms More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this … research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity More ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub … learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud More ❯

Oxford, including Prof. Brent Mittelstadt and Prof. Chris Russell, as well as other national and international stakeholders. Key areas of work include: Developing new ML and AI methods to address legal and social issues Studying societal impacts of generative AI and hallucinations in contexts like misinformation and human rights Advancing … Qualifications: Doctoral degree in machine learning or a related field (or near completion) Ability to review relevant academic literature, especially in ethical ML Excellent command of English (spoken and written) Strong writing, presentation, and analytical skills Research experience with publications appropriate to career stage Experience with ML frameworks … Interest in organizing academic events Desirable qualifications include experience with policy-making or knowledge exchange with stakeholders, and the ability to identify gaps between ML/AI use and ethical guidelines. What we offer: Opportunity to contribute to cutting-edge research on fairness, accountability, transparency, and public sector technology procurement More ❯

ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies and treatments. Key Responsibilities: Analyze … transcriptomic, proteomic, and clinical data to support drug discovery projects. Develop and optimize bioinformatics tools and pipelines for high-throughput data analysis. Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms … understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both technical More ❯

are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams … days holidays Group Life assurance scheme Long Term Disability Scheme Key Responsibilities: Explore large datasets to identify patterns and insights Build and improve machine learning models to solve business problems Design and analyze experiments (A/B testing, etc.) Data Engineering Support Work with data engineers to ensure … to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R More ❯

Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Scientist on AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist - AI/… ML to help advance AI/ML for Drug Design. The primary location for this position is UK/Europe. At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We … neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Scientist who will work at the intersection of AI/ML and Drug Design. Key Responsibilities: Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure More ❯

IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning … a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the Art The field … of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities More ❯

our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to … customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging services such as Lambda, S3 and … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data … expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

data-driven decision-making on a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and … field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer More ❯

data-driven decision-making on a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and … field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer More ❯

the hunt for a highly skilled MLOps Engineer to join a cutting-edge project with a leading client. If you're passionate about deploying ML solutions at scale and love working with Azure and Python, this is the role for you. Location: Hybrid - 2 days/week onsite in Wokingham … Do: Design and implement end-to-end MLOps pipelines using Azure Machine Learning Collaborate with data scientists to deploy, monitor, and maintain ML models in production Automate workflows for model training, testing, deployment, and performance tracking Contribute to CI/CD processes using Azure DevOps What You Bring … Proven MLOps experience in Azure Strong Python programming skills Solid understanding of machine learning models and life cycle Bonus points for hands-on with Azure DevOps Pipelines , Docker, or MLflow ... More ❯

backend services appropriately Skills, Knowledge and Expertise AI Expertise - Demonstrated experience implementing AI solutions in commercial software products. Strong understanding of large language models, machine learning techniques, and AI application design patterns. Practical AI Implementation - Experience with prompt engineering, model fine-tuning, RAG (Retrieval Augmented Generation) systems, and … programming skills in Python, C++ or similar languages with experience integrating AI components into existing software architectures. A strong foundational comprehension of AI technologies, machine learning algorithms, and data analysis techniques. Problem Articulation - Ability to clearly define business problems in ways that can be addressed through AI approaches More ❯

and implement scalable, high-impact solutions. Key Responsibilities Data Analysis & Modeling Analyze large datasets to identify trends, patterns, and actionable insights. Develop and optimize machine learning models to address business challenges. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management Collaborate with data engineering … s degree in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R More ❯