501 to 525 of 2,178 Machine Learning Jobs in England

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

UK Overview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the … Highbury). Clear communication, fast iteration, and support over silos. A culture that thrives on ambiguity, feedback, and a growth mindset. What You’ll Do Design, build, and scale machine learning models using environmental and observational data. Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods. Leverage foundation … team members and foster best practices in applied ML. What You Bring Strong background in applied machine learning, bayesian statistics, and causal inference. Proficiency in Python and ML frameworks such as PyTorch. Experience with cloud infrastructure (e.g., AWS, GCP). A clear, concise communication style - clear examples given when asked, not word salad. An adaptive mindset and comfort 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 ❯

Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal part in assessing and managing risks related to AI-driven projects … across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to identify and mitigate risks. Translate complex technical risks into business-friendly … models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. More ❯

multiple lines of business or a deep expertise in a particular line An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI Solid experience with data manipulation Experience with Python, Git (or other versioning tools) and MLOps is preferred An understanding of machine learning and 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 ❯

demand domain expertise while delivering innovative solutions that shape underwriting, pricing, claims, and customer strategy. Your new role: Deliver actionable data-driven insights to the business via advanced analytics, machine learning and AI. Work both independently and collaboratively on data science projects across business functions, including underwriting, claims, pricing, and customer analytics. Present clear and well-organised analyses … requirements (e.g. GDPR, EU AI Act) and are supported by clear, comprehensive documentation. About you: Significant data science experience preferably within financial services, ideally in general insurance. Experience applying machine learning and AI techniques to real-world business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models More ❯

where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to explore machine learning and its real-world applications at scale. Jump in! A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to … responsible disclosure programs Understanding of language models and transformers Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Have experience supporting fast-paced startup engineering teams A contributor to opensource and … always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more. What We Believe In We do not have boundaries between engineering and research, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach and care about building solutions that are More ❯

products Build predictive models for various business applications (e.g., Research Pricing, recommendation systems). Optimize and fine-tune existing models for improved performance, efficiency, and accuracy. Develop and implement machine learning models using Python and relevant libraries Communicate findings and results to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of … Snowflake or similar Experience with delivering data products to clients via APIs Familiarity with data visualization tools Knowledge of locating, assessing and integrating third party data-sets Experience with machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks). Solid understanding of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer 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 ❯