651 to 675 of 2,636 Machine Learning Jobs in England

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy … identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen … ability to work both independently and collaboratively within a team of ~5. A high level of discretion and professionalism when handling sensitive data. A mindset focused on innovation, continuous learning, and delivering outcomes. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to More ❯

creation of AI content. Job Description As a Data Engineer, you'll architect and maintain the pipelines that power our products and services. You'll work atthe intersection of ML, media processing, and infrastructure; owning the data tooling and automation layer thatenables scalable, high-quality training and inference. If you're a developer who loves solving tough problems andbuilding efficient … storage, retrieval, and caching strategies for large media assets across environments. Deploy scalable data infrastructure using cloud platforms as well as on-premise and containerization. Deepen your knowledge of machine learning workflows to support AI projects. Stay current with industry trends and integrate modern tools into our stack. Must Haves 3+ years in data engineering or related backend … solving complex technical challenges. Passion for system optimisation and continuous learning. Ability to adapt solutions for multimedia data workflows. Nice to Have Experience with Kubernetes (k8s). Knowledge of machine learning or AI concepts. Familiarity with ETL tools or big data frameworks. Familiarity with cloud platforms (e.g., AWS, GCP, Azure). About You Innovative Like challenges Adaptable Calm More ❯

and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants More ❯

and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants More ❯

development experience with TypeScript and React for frontend development coupled with FastAPI/Flask for Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks includingLangchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the … pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which More ❯

AI Search are delighted to be partnered with one of the seminal algorithmic trading firms globally, as they look to appoint a Head of Machine Learning to be based in Europe. This is a firm with a deep-rooted commitment to research - already running proprietary compute cluster, extensive GPU infrastructure, and production-level … trading strategies fully powered by Machine Learning. They are now entering a new phase, seeking an industry-leading figure outside of Quant Finance to redefine the frontiers of ML within their operation. The ideal candidate will be academically recognised, deeply hands-on, and possess a proven track record of shipping truly novel ML products. A background in Finance is More ❯

AI Search are delighted to be partnered with one of the seminal algorithmic trading firms globally, as they look to appoint a Head of Machine Learning to be based in Europe. This is a firm with a deep-rooted commitment to research - already running proprietary compute cluster, extensive GPU infrastructure, and production-level … trading strategies fully powered by Machine Learning. They are now entering a new phase, seeking an industry-leading figure outside of Quant Finance to redefine the frontiers of ML within their operation. The ideal candidate will be academically recognised, deeply hands-on, and possess a proven track record of shipping truly novel ML products. A background in Finance is More ❯

Data Engineering hire to join our small but high performing data team. You will be responsible for ensuring the scalability and reliability of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark … to: Own business critical components and perform meaningful work with an impact on our company and our customers Design , implement and deliver data pipelines and infrastructure to support our machine learning and analytics products Collaborate as part of a fast paced data team and help achieve the team's goals of delivering high impact data products at scale … this role: Proficient with Python and PySpark Experience working with a modern data stack is beneficial but not required Experience with AWS is beneficial but not required You enjoy learning new technologies and are passionate about experimenting to figure out how to build things in a better way. You are excited about Ophelos' mission to support households and businesses More ❯

in driving data-driven solutions for their clients across various industries. Why This Role: Work on exciting projects: Be part of shaping the future of business and technology. Continuous learning: Access to cutting-edge training and development opportunities. Flexible work: Enjoy a balanced work-life with flexible work arrangements. Make a difference: Contribute to projects with a positive social … business value through data-driven insights. Develop and implement advanced data science models and algorithms to extract actionable insights from complex datasets. Master and apply cutting-edge AI and machine learning techniques to solve complex business challenges. Collaborate effectively with cross-functional teams to create innovative data solutions and drive business growth. Mentor and develop junior data scientists … You'll Need: Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems More ❯

performance system that tackles a fascinating range of technical challenges. From massive-scale data handling with caching and persistence requirements to interprocess communication, low-level networking, or integration of machine learning workloads on GPUs, the system touches on almost every aspect of modern software engineering. A heavily multi-threaded runtime adds another layer of depth for those who … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

healthcare and operational data into actionable insights that directly improve quality of care across thousands of lives. If you want to push the boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product features … implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that highlight trends, correlations, and risk factors (e.g., falls, infection prevention) using Azure Machine Learning and the wider Microsoft Azure data stack. Develop scalable, reusable workflows with Azure Data Factory, Synapse Analytics, and Databricks. Work closely with developers and product managers to … What You'll Bring Proven experience in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques More ❯

analytics to drive business success. Why Apply? High-Impact Role : Take ownership of data platform development, ensuring scalability, reliability, and efficiency. Technical Innovation : Work at the intersection of AI, machine learning, and real-time analytics , integrating cutting-edge technologies. Leadership & Strategy : Lead a team of data engineers and analysts , collaborating with senior stakeholders to drive a data-driven … governance frameworks , ensuring compliance with GDPR, ISO 27001 , and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives , building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise … skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics and business intelligence. Proven leadership experience, with the ability to manage and mentor data engineering teams . Strong stakeholder engagement skills, translating complex data insights into More ❯

significant experience in iOS and Android. While our software is largely mobile based, you'll also be able to lead members of your team specialising in Python, AWS and Machine Learning. You'll be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance) to the role: Mobile development (iOS & Android … Advanced algorithm development (Python) Cloud platforms (AWS) Machine Learning Web App (ASP.Net, JavaScript on Azure) Desktop App (Python) This senior leadership position requires someone who is still able and willing to be hands on with the code. As a small but rapidly growing team of 15, we're looking for a talented engineering leader, not a hands off … performing applications and platforms. Foster a culture of innovation, collaboration, and continuous improvement within the engineering team. Team Management Manage, mentor, and inspire a team that includes mobile engineers, machine learning specialists, mathematicians and physicists. Support talent acquisition, retention, and development to ensure a high-performing team. Technical Oversight Provide hands-on technical guidance for complex software development More ❯

Are you a Data Scientist with a passion for machine learning and finance? BONDS is seeking a talented individual to join our front office team and play a crucial role in forecasting investor behavior and driving strategic market decisions. Commerzbank and Capital Markets are a strong player in BONDS and have ambitions to grow while fully embracing the … AI wave. Accompany us on this exciting journey. Your tasks Collaborate with primary and secondary market teams to develop models forecasting investor behavior using advanced machine learning techniques. Work on the development and maintenance of data infrastructure to support robust data analysis and model development, in close cooperation with our Delivery Organisation/IT/Big Data internal … capital markets, including Bonds ; experience in the area is definitely a plus Understanding of Investment Banking products, processes and market conventions will be a strong advantage Entrepreneurial attitude towards learning new markets and models•Strong communication skills to convey technical insights to stakeholders •Highly team oriented •Ability to work in a fast-paced environment, with short deadlines and changing More ❯

chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. … s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and … in It for You: Growth opportunities: Join a company that invests in your development and offers a clear progression path. Collaborative culture: Work in a team that values experimentation, learning, and creativity. Tech-forward environment: Access to modern data tools and cloud-based infrastructure. Competitive compensation: Including salary and performance-based bonuses. If you're a driven Junior Data More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

December 2026. What are we looking for? • A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. • Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. … and talented Associates, all guided by the Five Principles. • Join a purpose driven company, where we're striving to build the world we want tomorrow, today. • Best-in-class learning and development support from day one, including access to our in-house Mars University. • An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity … penalized as a result of such a request. Company: Mars Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , NLP , United Kingdom More ❯

We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What you’ll be doing: Coming … supports a life-saving platform.You’ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might More ❯