901 to 925 of 2,334 Machine Learning Jobs in the UK excluding London

scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Science Consultant include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

underpinning security and defence operations Developing complex data pipelines, APIs, and AI tooling in modern Python environments Working in agile, multi-disciplinary teams alongside experts in software, data, and machine learning Delivering production-grade solutions across cloud and on-prem secure environments Experience required Strong hands-on Python development (FastAPI, Flask, Django or similar) Solid understanding of CI More ❯

and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. More ❯

This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools More ❯

This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools More ❯

This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

data formats. Experience with rules engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics More ❯

understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and More ❯

and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. More ❯

programming languages (such as Python, R, SQL, etc.). You will be an expert in data visualisation tools (Power BI, Tableau - Tableau preferred). You will have knowledge of machine learning algorithms and their applications. Hands-on experience with cloud platforms (GCP essential). Strong background in DevOps, including test automation and cultural change. Proficiency in telecom protocols More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

Excellent stakeholder communication and client-facing skills Desirable Azure Certifications (e.g. Azure Solutions Architect Expert, Azure DevOps Engineer) Experience with Microsoft 365 and Power Platform integrations Exposure to AI, machine learning or data modernisation projects within Azure Background working on enterprise-level projects in regulated industries (Finance, Public Sector, Healthcare) What's on Offer Competitive Daily Rate or More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯