601 to 625 of 2,636 Machine Learning Jobs in England

possible. Drive team to be a high-performance team. Data Plan, Design, and Implement scalable data pipelines. Develop and implement data models and algorithms to support data science and machine learning initiatives. Optimize data storage and retrieval systems for maximum performance. Continuously monitor and improve the performance of the data solutions to meet our clients' needs. Software Plan … Expert knowledge and experience with data modelling, data access, and data storage techniques. Experience with both relational and document databases. Strong understanding of data structures and algorithms. Familiarity with Machine Learning, Statistics, and AI is desirable. Experience with Source Control (GitHub) Software Expert experience with Kotlin (or Java) is required. Demonstrable experience building secure and scalable JVW-based … London, England, United Kingdom 1 week ago Head of Software Development, WEBRECRUIT Harrow, England, United Kingdom 6 days ago London, England, United Kingdom 3 months ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 1 month ago Dynamics Software Engineering Manager (ERP) Remote Senior Software Engineer (LLM) - 34953 Were unlocking community knowledge in a new More ❯

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 . RESPONSIBILITIES … keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

Prepare datasets for analysis by cleaning, transforming, and validating data using standard techniques. Apply statistical methodologies to conduct empirical analysis and identify data anomalies Design and implement statistical and machine learning solutions for business challenges. (e.g. forecasting, elasticity modeling, and clustering) Apply broader domain knowledge to evaluate and interpret results with greater autonomy. Shape the design and monitoring … pandas, scikit-learn) SQL proficiency for data querying and manipulation. Proficiency with data visualization tools (e.g., Microstrategy, Tableau) or dashboarding in Python (e.g., Plotly, Streamlit). Solid foundation in machine learning concepts, statistical methods, and data preparation techniques Comprehensive understanding of experimentation methods, model evaluation, and business metric interpretation. Effective written and verbal communication skills, especially when explaining More ❯

innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. This achievement not …/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. More ❯

the cloud and on our Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include: Define the technical direction. You'll set the tone for the systems architecture and technical … capabilities required to stay ahead of challenges we'll likely encounter over the next 12-24 months. Own complex, high-impact AI/ML projects. You'll work across multiple business units, ensuring high-quality delivery that aligns with business goals. Define excellence. Through your example, you'll set the bar for engineering excellence, best practices and quality within AML. … any current requirements for the number of days you come to the office. Must-Haves A product focus. You have a proven track record of delivering impactful AI/ML products at scale. Leadership experience. You know how to coach and influence a team of Engineers in large organizations. Technical expertise. You have built, maintained and scaled complex AI/ More ❯

Berlin and Milan Key job responsibilities - Lead the product roadmap and vision for the customer trust feature that helps Amazon listen to its customer's WW. - Use automation and ML to drive efficiencies that help Amazon act on direct customer inputs, building a safe and trusting shopping experience - Identify both incremental and innovative opportunities to advocate for the product direction … with program and partner teams and understand requirements, use data to assess and prioritize the requirements - Work with support teams such as engineering and science teams leveraging automation/ML for outcomes - Be a thought leader for the feature within the team and the larger scope of Trustworthy Shopping Experience About the team At Amazon we believe that customer trust … adoption - Experience of being a strong customer advocate and being that voice to executive level decision makers - Experience of bringing along support teams to achieve organizational goals - Experience with ML PREFERRED QUALIFICATIONS - MBA - Experience using advanced Machine Learning and AI tools Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community. Engineering Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs. Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable solutions … the community to inform product development. Requirements Strong proficiency in Python. Solid understanding of machine learning concepts, embeddings, and vector search. Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face). Excellent communication skills; ability to explain technical topics to diverse audiences. Prior experience contributing to open-source projects or engaging with developer communities. … Comfortable presenting and participating in public forums, events, or customer meetings. Bonus Points Contributions to AI infrastructure, vector databases, or search systems. Experience building ML-powered products in production. Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG). Public speaking or published technical content (talks, blog posts, tutorials). Familiarity with the Qdrant ecosystem or similar technologies. More ❯

recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production … and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models … best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine More ❯

recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production … and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models … best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine More ❯

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company … algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist More ❯

and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting … data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding … in multidisciplinary teams What’s on Offer? A chance to join a pioneering company at the forefront of data science and predictive analytics Exposure to cutting-edge AI/ML technologies and tools A collaborative and innovative culture focused on continuous learning Competitive salary and benefits package If you are passionate about data science and want to play a More ❯

and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting … data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding … in multidisciplinary teams What’s on Offer? A chance to join a pioneering company at the forefront of data science and predictive analytics Exposure to cutting-edge AI/ML technologies and tools A collaborative and innovative culture focused on continuous learning Competitive salary and benefits package If you are passionate about data science and want to play a More ❯

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs … software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with … APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have More ❯

across cross-functional teams Passion for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What's in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture: Collaborative environment emphasizing mutual respect … Flexible Working Hours: Arrangements that prioritize productivity and work-life balance Real-World Impact: Develop software that drives technological innovation Continuous Learning: Opportunities for professional development in technical and soft skills Iprova Culture Iprova is a mix of people and backgrounds, from very bright machine learning engineers and invention developers to pragmatic managers. Across this group there More ❯

with cross-functional teams, and help implement scalable solutions. 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 engineering teams to ensure data … s degree in data science, 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 programming languages such as Python … and a quarterly perks program. We encourage a good work-life balance with ample time off time away and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all. More ❯

Learn more about the Chin lab achievements here: We recently secured $58 million Series A fundraising. Read more here: What we're looking for: We are looking for an ML engineer to turn prototypes into functional systems. You will build and maintain our codebase, scale training pipelines, and align model with in-house data to develop state-of-the-art … sequence models for genetic sequence design. This is a unique opportunity to work at the frontier of generative biology and accelerate wet-lab experimentation. As our second ML hire, you'll help shape our ML infrastructure and define engineering standards for everything that follows. Responsibilities: Implement and benchmark state-of-the-art sequence models (e.g., transformer, diffusion models) Build robust … pipelines) Foster a high-trust engineering culture: write clear, well- documented code and participate in code reviews. Requirements: BSc or MSc in an Engineering discipline. Demonstrated experience with the ML research and development lifecycle. Hands-on experience with PyTorch, Hugging Face libraries. Solid understanding of algorithms, data structures, and software design principles. Growth mindset and curiosity for biology - we'll More ❯

What You'll Do: Collaborate with Stakeholders: Engage with business stakeholders to educate and demonstrate the impact of data-driven decision-making Develop and Implement Solutions: Build and deploy machine learning solutions to address key business challenges and improve operational efficiency. Communicate Complex Insights: Present statistical concepts and findings in an accessible way to non-technical audiences, driving … BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location: This role is … employer) Access to MySavings – employee discount platform Champion Health – wellbeing support across mental, physical and financial health Free use of the private gym at Janet Nash House (Durham HQ) Learning and development support Our Hiring Process: Introductory call with our Talent Team Microsoft Teams interview with Global Head of BI & Analytics. Microsoft Teams interview with Data Engineering Manager and More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

What You'll Do: Collaborate with Stakeholders: Engage with business stakeholders to educate and demonstrate the impact of data-driven decision-making Develop and Implement Solutions: Build and deploy machine learning solutions to address key business challenges and improve operational efficiency. Communicate Complex Insights: Present statistical concepts and findings in an accessible way to non-technical audiences, driving … BI or Tableau. Excellent interpersonal skills and ability to work cross-functionally. Nice to haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location: This role is … employer) Access to MySavings - employee discount platform Champion Health - wellbeing support across mental, physical and financial health Free use of the private gym at Janet Nash House (Durham HQ) Learning and development support Our Hiring Process: Introductory call with our Talent Team Microsoft Teams interview with Global Head of BI & Analytics. Microsoft Teams interview with Data Engineering Manager and More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

accuracy and integrity. Cleaning and preprocessing data to prepare it for analysis. Performing statistical analysis to understand data characteristics, trends, and patterns, and validating hypotheses. Developing predictive models using machine learning algorithms to forecast trends and outcomes, including training, testing, and optimizing models. Creating visualisations using Python libraries and dashboard tools like Power BI to communicate findings effectively. … including LLMs, prompt engineering, and RAG approaches. Experience with tools/frameworks for building Generative AI applications (e.g., agentic AI, orchestration frameworks, embedding models, vector databases). Understanding of machine learning and predictive modelling. Proficiency in SQL and working with relational databases. What can Allan Webb offer you? Salary of £35,000 per annum, depending on experience, plus More ❯

AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval More ❯

fostering collaboration across teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis … years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems Mastery of programming languages such as Python and SQL, with experience building More ❯