651 to 675 of 2,929 Machine Learning Jobs in the UK

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 ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have More ❯

efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking … and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward … thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have 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 ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). … Interact with product and engineering teams for the purpose of technology transfer. Skills and Qualifications Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning. Familiarity with fast prototyping Deep Learning frameworks such as PyTorch. A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our … to us. You will have a structured path to achieve your career aspirations, backed by dedicated mentorship from senior technical leaders. You'll have access to specialised AI/ML training programs, conference opportunities, and innovation time to explore new technologies. Our engineers regularly present their innovations, and work to senior leadership. Our team's culture emphasises both individual growth … design principles PREFERRED QUALIFICATIONS - Understanding of AI model optimisation techniques - Experience with large language models (LLMs) - Familiarity with machine learning frameworks (PyTorch, TensorFlow) - Experience with AI/ML deployment platforms (Amazon Q) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during More ❯

science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML/AI/data science libraries and work on a variety of applications. You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi. … and software skills. Help build and improve the algorithms in scalable manner for AI-based anomaly detection and predictive modelling Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc) Development of computer models and doing predictive and prescriptive analytics for various applications Build Proof of Concepts in notebooks, but … Train, tune and deploy anomaly detection and predictive models on industrial or IoT data Knack/experience of consultancy services Qualifications : Previous hands-on experience in Data Science, delivering machine learning models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science 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 ❯