301 to 325 of 2,360 Machine Learning Jobs in the UK excluding London

maintain AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values … members, including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to … Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related … field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid understanding of machine learning concepts , including supervised and unsupervised learning. Experience working with financial datasets , such as market data, transactions, or alternative finance sources. Strong analytical and problem More ❯

training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for … of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work … fast-paced environment. Preferred Qualifications Experience with Databricks and Databricks Unity Catalog. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for More ❯

Postdoctoral Research Associate in Machine Learning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene … with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness More ❯

AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two vital missions: bringing impactful machine learning capabilities into our products, and learning from real user behaviour to make them even better. As a Data Scientist, you'll … team and build a world-class AI capability at Matillion. What we are looking for Deep AI Knowledge : MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI … technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of More ❯

Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed … covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning … 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. 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 ❯

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 ❯

React, Next.js) back-end development (TypeScript, Node.js), cloud providers (AWS, Google Cloud, Azure), databases (SQL and NoSQL), and mobile development (iOS and Android). Machine Learning Experience: Practical experience building machine learning models; familiarity with healthcare data is a bonus. Leadership: Previous experience mentoring or leading More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance … market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document … of software development in the financial markets, Fintech or Insurtech is preferable Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement, and optimize machine learning models to solve business problems. -Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: -Collaborate with data … Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. PREFERRED QUALIFICATIONS -Proficiency in More ❯

python (we use both, as needed), and be familiar with collaborating with other team members using git. Have practical experience of applying things like machine learning, statistics, data wrangling, and dashboarding to real-world problems. Be familiar with communicating technical results to non-technical audiences, including making recommendations … Science or other relevant field Professional registration with relevant body (e.g. AphA) Experience Experience of applying Data Science techniques to real-world datasets (e.g. Machine Learning, Time Series Forecasting, Statistical Modelling, ). Experience of developing and maintaining code using Python, R, or similar Experience of using Git to More ❯

application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior Data Engineer will also collaborate with quantitative analysts, traders, and commercial stakeholders to … to learn new technologies, markets, and business concepts. Plusses: Exposure to Dash Plotly (or similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong More ❯

where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be … the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design …/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong More ❯

the Power/Natural Gas Market. Profile/Key Skills The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems, particularly in the power & gas business. The required expertise includes (but is … to): Natural Gas Modelling: Advanced experience with different forms of Power/Natural Gas modelling: Stack, Bid Offer, Interconnectors, Gas Storages and Pipelines Applied Machine learning techniques: Good to have latest applied machine knowledge to improve models Statistics/Mathematics: Data Quality Analysis, Data identification, Hypothesis testing More ❯

will collaborate closely with medicinal chemists, biologists, ADME and engineers to drive drug discovery using Recursion's cutting-edge Design Platform. Leveraging AI/ML, computational chemistry and drug design tools, you will help invent new medicines with unprecedented productivity. Beyond hands-on project work, you'll have opportunities to … to help you grow, learn, and make a lasting impact. In this role, you will: Design potential drug molecules using cutting-edge AI/ML, molecular dynamics, synthesis-aware generative design and active learning. Build and execute generative workflows, collaborating with medicinal chemists and biologists to refine and prioritize designs. … Excellent interpersonal, verbal, and written communication skills, with the ability to effectively engage both internal teams and external stakeholders. Strong interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative 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 ❯

all our sectors. You will use your knowledge and practical experience to develop a best practice operating model to assure robust and commercially viable machine learning solutions are deployed and adopted with clients. You will line-manage members of the Decision Sciences and Machine Learning team … data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology … stack for building and orchestrating ML solutions. A strong grasp of profit-loss dynamics and value drivers in a range of commercial settings. Key Business Skills Ability to spot commercial opportunities for data science use cases in existing and new client conversations. Excellent people skills, with ability to engage confidently More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing … led decision-making. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter More ❯

this role you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. Requirements We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing More ❯

this role, you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

Engineer to join this growing team. The successful candidate will help ingest, cleanse, and model data into unified, analytics-ready datasets supporting Business Intelligence, machine learning, and Data Science initiatives. Core Duties Design and develop cohesive data repositories to support data-driven decision-making. Ingest data from a … BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft Purview Exposure to machine learning and artificial intelligence use cases Personal Attributes Self-motivated and able to work independently without close supervision Organised, methodical, and structured in More ❯