626 to 650 of 2,653 Machine Learning Jobs in England

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 ❯

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 ❯

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 ❯

Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We are … code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge 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 ❯

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 ❯

automation to solve complex industry challenges. What you'll be doing This is a hands-on engineering role with strategic potential. You'll work on cutting-edge AI/ML solutions and help the business realise tangible, data-driven outcomes. You'll: Design, build and deploy AI and automation tools across the business Partner with architecture teams to embed AI … in core services Develop data mining techniques for structured and unstructured data Drive innovation and identify emerging use cases for AI/ML Translate technical concepts for stakeholders across varying levels of digital maturity Champion ethical AI practices and ensure responsible development You'll also play a key role in major transformation projects, shaping the way AI supports operations across … we're looking for We'd love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative More ❯

automation to solve complex industry challenges. What you'll be doing This is a hands-on engineering role with strategic potential. You'll work on cutting-edge AI/ML solutions and help the business realise tangible, data-driven outcomes. You'll: Design, build and deploy AI and automation tools across the business Partner with architecture teams to embed AI … in core services Develop data mining techniques for structured and unstructured data Drive innovation and identify emerging use cases for AI/ML Translate technical concepts for stakeholders across varying levels of digital maturity Champion ethical AI practices and ensure responsible development You'll also play a key role in major transformation projects, shaping the way AI supports operations across … we're looking for We'd love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative More ❯

now on or leave Courtney a message. A member of our team will be in touch shortly to arrange our chat. Check it out! Apply for our latest jobs Machine Learning Engineer Permanent London Machine Learning Engineer Location: Remote Salary: £70K - £80K Data Idols are working with an exciting company who specialise in renewable energy solutions More ❯

or leave Courtney a message. A member of our team will be in touch shortly to arrange our chat. Check it out! Apply for our latest jobs Machine Learning Engineer Permanent London Machine Learning Engineer Location: Remote Salary: 70K - 80K Data Idols are working with an exciting company who specialise in renewable energy solutions to hire More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities 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 ❯

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 ❯

or other relevant engineering domains. 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company. Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization. Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc. More ❯

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence Job ID: Evi Technologies Limited Note: This is a position for a fixed-term contract. AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language … labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa's performance in everyday 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 price optimisation models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer More ❯

testing aspects, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including but not limited to analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different …/or engineering problems and suitably designing data architectures You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machine learning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies You have developed data governance plans that are in line with ethical More ❯

will be joining an organisation 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 a great opportunity for someone … their career - I.e. Someone at 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, code reviews, and architecture decisions. … We’re Looking For MSc/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 business acumen, communication skills, and More ❯

will be joining an organisation 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 a great opportunity for someone … their career - I.e. Someone at 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, code reviews, and architecture decisions. … We’re Looking For MSc/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 business acumen, communication skills, and More ❯